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journal = {AEU - International Journal of Electronics and Communications},
keywords = {fpga,otr-uwb,synchronization,synthesis,uwb},
month = mar,
number = {3},
pages = {258--266},
publisher = {Elsevier},
title = {Baseband implementation of OTR-UWB receiver using FPGA},
volume = {64},
year = {2010}
}
@inproceedings{Mestre,
author = {Mestre, X.},
booktitle = {Proc. 14th Workshop on Adaptive Sensor Array Processing},
title = {An improved weighted MUSIC algorithm for small sample size scenarios},
}
@inproceedings{Wang2008b,
author = {Wang, Z. and Arce, G.R. and Sadler, B.M.},
booktitle = {Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on},
issn = {1520-6149},
pages = {3873--3876},
publisher = {IEEE},
title = {Subspace compressive detection for sparse signals},
year = {2008}
}
@article{Wang2010b,
author = {Wang, Yilun and Yin, W.},
journal = {SIAM Journal on Imaging Sciences},
keywords = {65k10,68u10,90c25,90c51,ams subject classifications,basis pursuit,compressed sensing,iterative support detection,l1 minimization},
number = {3},
pages = {462--491},
title = {Sparse Signal Reconstruction via Iterative Support Detection},
volume = {3},
year = {2010}
}
@article{Gomaa2010,
author = {Gomaa, A. and Islam, Z.},
issn = {1520-6149},
journal = {Acoustics Speech and Signal},
number = {6},
pages = {3294--3297},
publisher = {IEEE},
title = {Two novel compressed-sensing algorithms for NBI detection in OFDM systems},
year = {2010}
}
@article{Cramer,
author = {Cramer, R.J.-M. and Win, M.Z. and Scholtz, R.a.},
doi = {10.1109/ICC.1998.683110},
isbn = {0-7803-4788-9},
journal = {ICC '98. 1998 IEEE International Conference on Communications. Conference Record. Affiliated with SUPERCOMM'98 (Cat. No.98CH36220)},
keywords = {diversity combining,multi-,multipath channel,ple access,propagation measurement,rake reception,sequence design,spread spectrum,time-hopping,ultra-wideband radio},
pages = {1650--1654},
publisher = {Ieee},
title = {Impulse radio multipath characteristics and diversity reception},
}
@article{Chehri2007,
author = {Chehri, a. and Fortier, P. and Tardif, P.-M.},
doi = {10.1109/ISSSE.2007.4294530},
isbn = {1-4244-1448-2},
journal = {2007 International Symposium on Signals, Systems and Electronics},
month = jul,
pages = {533--536},
publisher = {Ieee},
title = {On the TOA Estimation for UWB Ranging in Complex Confined Area},
year = {2007}
}
@article{Viola2003,
abstract = {Time-delay estimation (TDE) is a common operation in ultrasound signal processing. In applications such as blood flow estimation, elastography, phase aberration correction, and many more, the quality of final results is heavily dependent upon the performance of the time-delay estimator implemented. In the past years, several algorithms have been developed and applied in medical ultrasound, sonar, radar, and other fields. In this paper we analyze the performances of the widely used normalized and non-normalized correlations, along with normalized covariance, sum absolute differences (SAD), sum squared differences (SSD), hybrid-sign correlation, polarity-coincidence correlation, and the Meyr-Spies method. These techniques have been applied to simulated ultrasound radio frequency (RF) data under a variety of conditions. We show how parameters, which include center frequency, fractional bandwidth, kernel window size, signal decorrelation, and signal-to-noise ratio (SNR) affect the quality of the delay estimate. Simulation results also are compared with a theoretical performance limit set by the Cram\'{e}r-Rao lower bound (CRLB). Results show that, for high SNR, high signal correlation, and large kernel size, all of the algorithms closely match the theoretical bound, with relative performances that vary by as much as 20\%. As conditions degrade, the performances of various algorithms differ more significantly. For signals with a correlation level of 0.98, SNR of 30 dB, center frequency of 5 MHz with a fractional bandwidth of 0.5, and kernel size of 2 micros, the standard deviation of the jitter error is on the order of few nanoseconds. Normalized correlation, normalized covariance, and SSD have an approximately equal jitter error of 2.23 ns (the value predicted by the CRLB is 2.073 ns), whereas the polarity-coincidence correlation performs less well with a jitter error of 2.74 ns.},
author = {Viola, Francesco and Walker, William F},
issn = {0885-3010},
journal = {IEEE transactions on ultrasonics, ferroelectrics, and frequency control},
keywords = {Algorithms,Computer Simulation,Equipment Failure Analysis,Equipment Failure Analysis: methods,Image Enhancement,Image Enhancement: methods,Models, Statistical,Sensitivity and Specificity,Statistics as Topic,Stochastic Processes,Ultrasonography,Ultrasonography: methods},
month = apr,
number = {4},
pages = {392--401},
pmid = {12744395},
title = {A comparison of the performance of time-delay estimators in medical ultrasound.},
volume = {50},
year = {2003}
}
@article{Berti2006,
author = {Berti, S and Bistagnino, a and Boffetta, G and Celani, a and Musacchio, S},
doi = {10.1209/epl/i2006-10222-6},
issn = {0295-5075},
journal = {Europhysics Letters (EPL)},
month = oct,
number = {1},
pages = {63--69},
title = {Small-scale statistics of viscoelastic turbulence},
volume = {76},
year = {2006}
}
@article{Jacques2010,
author = {Jacques, Laurent and Vandergheynst, Pierre},
journal = {Signal Processing},
pages = {1--30},
publisher = {Citeseer},
title = {Compressed Sensing:When sparsity meets sampling},
year = {2010}
}
@article{Qiu2005,
author = {Qiu, R.C. and Liu, H. and Shen, X.},
doi = {10.1109/MCOM.2005.1391505},
issn = {0163-6804},
journal = {IEEE Communications Magazine},
month = feb,
number = {2},
pages = {80--87},
title = {Ultra-wideband for multiple access communications},
volume = {43},
year = {2005}
}
@article{Larsson2007,
author = {Larsson, Erik G. and Selen, Yngve},
doi = {10.1109/TSP.2006.887109},
issn = {1053-587X},
journal = {IEEE Transactions on Signal Processing},
month = feb,
number = {2},
pages = {451--460},
title = {Linear Regression With a Sparse Parameter Vector},
volume = {55},
year = {2007}
}
@article{Beaulieu2007,
author = {Beaulieu, Norman and Chen, Yunfei},
doi = {10.1109/TWC.2007.05511},
issn = {1536-1276},
journal = {IEEE Transactions on Wireless Communications},
month = mar,
number = {3},
pages = {840--844},
title = {A MAP Estimator for the m Parameter in Nakagami Fading Ultra-Wide Bandwidth Indoor Channels},
volume = {6},
year = {2007}
}
@article{Gezici,
author = {Gezici, S. and Poor, H.V. and Kobayashi, H.},
doi = {10.1109/ICU.2005.1569977},
isbn = {0-7803-9397-X},
journal = {2005 IEEE International Conference on Ultra-Wideband},
pages = {164--169},
publisher = {Ieee},
title = {A Genetic Algorithm Based Finger Selection Scheme for UWB MMSE Rake Receivers},
}
@article{Tatsis2010,
author = {Tatsis, Giorgos and Votis, Constantinos and Raptis, Vasilis and Christofilakis, Vasilis and Chronopoulos, Spyridon K. and Kostarakis, Panos and Angelopoulos, Angelos and Fildisis, Takis},
doi = {10.1063/1.3322512},
journal = {System},
keywords = {channel estimation,impulse radio,matched filter,software radio,uwb},
pages = {573--578},
title = {Performance of UWB-Impulse Radio Receiver Based on Matched Filter Implementation with Imperfect Channel Estimation},
year = {2010}
}
@phdthesis{Muqaibelb,
author = {Muqaibel, Ali Hussein},
booktitle = {Electrical Engineering},
title = {Characterization of Ultra Wideband Communication Channels by Characterization of Ultra Wideband Communication Channels}
}
@unpublished{Gui2010,
author = {Gui, Guan and Wan, Qun and Peng, Wei},
booktitle = {Arxiv preprint arXiv:1005.2270},
pages = {10--14},
title = {Sparse Multipath Channel Estimation Using Compressive Sampling Matching Pursuit Algorithm},
url = {http://arxiv.org/pdf/1005.2270},
year = {2010}
}
@article{YongU,
author = {Lee, Yong Up},
doi = {10.1109/ISWPC.2006.1613581},
isbn = {0-7803-9410-0},
journal = {2006 1st International Symposium on Wireless Pervasive Computing},
pages = {1--4},
publisher = {Ieee},
title = {Angle-of-Arrival Estimation for UWB Signals Clustered in Angle},
}
@article{Sieskul,
author = {Sieskul, B.T. and Kaiser, T.},
doi = {10.1109/ICU.2005.1570022},
isbn = {0-7803-9397-X},
journal = {2005 IEEE International Conference on Ultra-Wideband},
number = {6},
pages = {408--413},
publisher = {Ieee},
title = {Cramer-Rao Bound for TOA Estimations in UWB Positioning Systems},
}
@article{Witrisal2008a,
author = {Witrisal, Klaus and Pausini, Marco},
doi = {10.1109/TVT.2007.907008},
issn = {0018-9545},
journal = {IEEE Transactions on Vehicular Technology},
number = {3},
pages = {1359--1373},
title = {Statistical Analysis of UWB Channel Correlation Functions},
volume = {57},
year = {2008}
}
@phdthesis{Park2009,
author = {Park, J.},
publisher = {D., HARVARD UNIVERSITY},
school = {Harvard University},
title = {Compressed sensing using graphical models},
year = {2009}
}
@article{Qi2008,
address = {New York, New York, USA},
author = {Qi, Yuting and Liu, Dehong and Dunson, David and Carin, Lawrence},
doi = {10.1145/1390156.1390253},
isbn = {9781605582054},
journal = {Proceedings of the 25th international conference on Machine learning - ICML '08},
number = {1},
pages = {768--775},
publisher = {ACM Press},
title = {Multi-task compressive sensing with Dirichlet process priors},
year = {2008}
}
@phdthesis{Gu,
author = {Guvenc, I.},
title = {Towards Practical Design of Impulse Radio Ultrawideband Systems:},
year = {2006}
}
@article{Guvenc2005,
author = {Guvenc, I. and Sahinoglu, Z.},
doi = {10.1109/ICU.2005.1570025},
isbn = {0-7803-9397-X},
journal = {2005 IEEE International Conference on Ultra-Wideband},
pages = {426--431},
publisher = {Ieee},
title = {TOA Estimation with Different IR-UWB Transceiver Types},
year = {2005}
}
@article{Carbonelli2007,
author = {Carbonelli, Cecilia and Mitra, Urbashi},
doi = {10.1109/TWC.2007.051006},
issn = {1536-1276},
journal = {IEEE Transactions on Wireless Communications},
month = jul,
number = {7},
pages = {2412--2416},
title = {Clustered ML Channel Estimation for Ultra-Wideband Signals},
volume = {6},
year = {2007}
}
@article{Scholtz,
author = {Scholtz, R.a.},
doi = {10.1109/GLOCOM.2003.1258340},
isbn = {0-7803-7974-8},
journal = {GLOBECOM '03. IEEE Global Telecommunications Conference (IEEE Cat. No.03CH37489)},
pages = {759--763},
publisher = {Ieee},
title = {Optimal and suboptimal receivers for ultra-wideband transmitted reference systems},
}
@inproceedings{Bishop2000,
author = {Bishop, C.M. and Tipping, M.E.},
booktitle = {Proceedings of the 16th Conference on Uncertainty in Artificial Intelligence},
number = {1},
pages = {46--53},
publisher = {Citeseer},
title = {Variational relevance vector machines},
year = {2000}
}
@misc{Foerster2001,
author = {Foerster, Jeff and Labs, Intel Architecture and Corp, Intel},
booktitle = {Intel Technology},
pages = {1--11},
title = {Ultra-Wideband Technology for Short- or Medium-Range Wireless Communications},
year = {2001}
}
@article{Hao2007a,
author = {Hao, Kei and Gubner, John a.},
doi = {10.1109/GLOCOM.2007.341},
isbn = {978-1-4244-1042-2},
journal = {IEEE GLOBECOM 2007-2007 IEEE Global Telecommunications Conference},
keywords = {Theoretical Performance Analysis of the IEEE 802.1},
month = nov,
pages = {1770--1774},
publisher = {Ieee},
title = {Theoretical Performance Analysis of the IEEE 802.15.3a UWB Channel Model},
year = {2007}
}
@article{Meng2006,
author = {Meng, Hongwei and Wang, Shuxun and Sun, Xiaoying and Properties, A U W B Pulse},
doi = {10.1109/WCICA.2006.1712655},
isbn = {1-4244-0332-4},
journal = {2006 6th World Congress on Intelligent Control and Automation},
pages = {1759--1762},
publisher = {Ieee},
title = {Estimation of Signal Arrival Time Based on UWB Pulse},
year = {2006}
}
@unpublished{Caire2009,
author = {Caire, Giuseppe},
number = {1},
pages = {1--2},
title = {Sensing sparse signals using a Fourier sensing matrix and using ESPRIT},
year = {2009}
}
@article{Rahman,
author = {Rahman, M.a. and Sasaki, S. and Muramatsu, S. and Kikuchi, H.},
doi = {10.1109/UWBST.2004.1320970},
isbn = {0-7803-8373-7},
journal = {2004 International Workshop on Ultra Wideband Systems Joint with Conference on Ultra Wideband Systems and Technologies. Joint UWBST \& IWUWBS 2004 (IEEE Cat. No.04EX812)},
pages = {231--235},
publisher = {Ieee},
title = {Performance evaluation of RAKE reception of ultra wideband signals over multipath channels from energy capture perspective},
}
@article{Huang2010,
author = {Huang, Qiong and Qu, Lele and Wu, Bingheng and Fang, Guangyou},
doi = {10.1109/TGRS.2009.2030321},
issn = {0196-2892},
journal = {IEEE Transactions on Geoscience and Remote Sensing},
month = mar,
number = {3},
pages = {1408--1415},
title = {UWB Through-Wall Imaging Based on Compressive Sensing},
volume = {48},
year = {2010}
}
@article{Lottici2002,
author = {Lottici, V. and D'Andrea, A. and Mengali, U.},
doi = {10.1109/JSAC.2002.805053},
issn = {0733-8716},
journal = {IEEE Journal on Selected Areas in Communications},
month = dec,
number = {9},
pages = {1638--1645},
title = {Channel estimation for ultra-wideband communications},
volume = {20},
year = {2002}
}
@article{Xu,
author = {Xu, Z. and Liu, P.},
doi = {10.1109/ACSSC.2003.1292189},
isbn = {0-7803-8104-1},
journal = {The Thrity-Seventh Asilomar Conference on Signals, Systems \& Computers, 2003},
pages = {1249--1253},
publisher = {Ieee},
title = {A subspace approach to blind estimation of ultra-wideband channels},
}
@article{Naini2009a,
author = {Naini, Farid M. and Gribonval, Remi and Jacques, Laurent and Vandergheynst, Pierre},
doi = {10.1109/ICASSP.2009.4960224},
isbn = {978-1-4244-2353-8},
journal = {2009 IEEE International Conference on Acoustics, Speech and Signal Processing},
month = apr,
pages = {2877--2880},
publisher = {Ieee},
title = {Compressive sampling of pulse trains: Spread the spectrum!},
year = {2009}
}
@article{Bajwa2010b,
author = {Bajwa, Waheed U and Haupt, Jarvis and Sayeed, Akbar M and Nowak, Robert},
doi = {10.1109/JPROC.2010.2042415},
issn = {0018-9219},
journal = {Proceedings of the IEEE},
month = jun,
number = {6},
pages = {1058--1076},
title = {Compressed Channel Sensing: A New Approach to Estimating Sparse Multipath Channels},
volume = {98},
year = {2010}
}
@article{Zhang2009a,
author = {Zhang, Xiaofei and Gao, Xin and Xu, Dazhuan},
doi = {10.1109/TVT.2009.2020596},
issn = {0018-9545},
journal = {IEEE Transactions on Vehicular Technology},
month = oct,
number = {8},
pages = {4686--4690},
title = {Multi-Invariance ESPRIT-Based Blind DOA Estimation for MC-CDMA With an Antenna Array},
volume = {58},
year = {2009}
}
@article{Munukutla2010,
author = {Munukutla, Karthik and Vittal, Vijay and Heydt, Gerald T. and Chipman, Daryl and Keel, Brian},
doi = {10.1109/TPWRD.2010.2040843},
issn = {0885-8977},
journal = {IEEE Transactions on Power Delivery},
month = jul,
number = {3},
pages = {1742--1748},
title = {A Practical Evaluation of Surge Arrester Placement for Transmission Line Lightning Protection},
volume = {25},
year = {2010}
}
@article{Paredes2007,
author = {Paredes, Jose L. and Arce, Gonzalo R. and Wang, Zhongmin},
doi = {10.1109/JSTSP.2007.906657},
issn = {1932-4553},
journal = {IEEE Journal of Selected Topics in Signal Processing},
month = oct,
number = {3},
pages = {383--395},
title = {Ultra-Wideband Compressed Sensing: Channel Estimation},
volume = {1},
year = {2007}
}
@article{Kormylo2002,
author = {Kormylo, J. and Mendel, J.},
issn = {0018-9448},
journal = {Information Theory, IEEE Transactions on},
number = {3},
pages = {482--488},
publisher = {IEEE},
title = {Maximum likelihood detection and estimation of Bernoulli-Gaussian processes},
volume = {28},
year = {2002}
}
@article{LiuqingYangandGeorgiosGiannakis2004,
author = {{Liuqing Yang and Georgios B. Giannakis}},
doi = {10.1207/S15327825MCS0501\_1},
journal = {IEEE Signal Processing Magazine},
number = {6},
pages = {26--54},
title = {Ultra-Wideband: An Idea Whose Time Has Come},
volume = {21}
}
@article{Miljko2008,
author = {Miljko, Eric and Vucic, Desimir},
doi = {10.1109/ICUWB.2008.4653328},
isbn = {978-1-4244-2216-6},
journal = {2008 IEEE International Conference on Ultra-Wideband},
month = sep,
pages = {241--244},
publisher = {Ieee},
title = {Direct position estimation of UWB transmitters in multipath conditions},
volume = {1},
year = {2008}
}
@article{Irahhauten2004,
author = {Irahhauten, Z and Nikookar, H and Janssen, G},
journal = {Microwave and Wireless Components Letters},
number = {8},
pages = {2--5},
title = {An overview of modeling of ultra wide band indoor channels},
volume = {14},
year = {2004}
}
@unpublished{Holtz2008,
arxivId = {arXiv:0812.3137v1},
author = {Holtz, O.},
booktitle = {Arxiv preprint arXiv:0812.3137},
pages = {1--19},
title = {Compressive sensing: a paradigm shift in signal processing},
url = {http://arxiv.org/pdf/0812.3137},
year = {2008}
}
@article{Perry2010,
arxivId = {arXiv:0906.3090v2},
author = {Perry, P.O. and Wolfe, P.J.},
issn = {1932-4553},
journal = {Selected Topics in Signal Processing, IEEE Journal of},
number = {3},
pages = {504--513},
publisher = {IEEE},
title = {Minimax rank estimation for subspace tracking},
volume = {4},
year = {2010}
}
@article{Tang1874,
author = {Tang, Jin and Xu, Zhengyuan and Liu, Ping},
doi = {10.1109/UWBST.2003.1267884},
isbn = {0-7803-8187-4},
journal = {IEEE Conference on Ultra Wideband Systems and Technologies, 2003},
pages = {458--462},
publisher = {Ieee},
title = {Mean and covariance based estimation of multiple access UWB channels},
year = {1874}
}
@phdthesis{Wu2011,
abstract = {Compressive sensing (CS) is a theory about that one may achieve an exact signal reconstruction from the enough CS measurements taken from a sparse signal. However, in practical applications, the transform coefficients of SAR images usually have the weak sparsity. Exactly reconstructing these images is very challenging. A new Bayesian evolutionary pursuit algorithm (BEPA) is proposed in this paper. A signal is represented as the sum of a main signal and some residual signals, and the generalized Gaussian distribution (GGD) is employed as the prior of the main signal and the residual signals. BEPA decomposes the residual iteratively, and estimates the maximum a posteriori of the main signal and the residual signals by solving a sequence of sub-problems, so as to achieve the approximate CS reconstruction of the signal. Under the assumption of GGD with the parameter 0<p<1 the evolutionary algorithm (EA) is introduced to CS reconstruction for the first time. The better reconstruction performance can be achieved by searching the global optimal solutions of sub-problems with EA. Numerical experiments demonstrate that the important features of SAR images (e.g. the point and line targets) can be well preserved by our algorithm, and the superior reconstruction performance can be obtained at the same time.},
author = {Wu, J and Liu, F and Jiao, L C and Wang, X},
doi = {10.1109/TIP.2010.2104159},
issn = {1941-0042},
keywords = {Clemson University,Department of Mathematical Sci},
month = jan,
number = {May},
pmid = {21245010},
title = {Compressive Sensing SAR Image Reconstruction Based on Bayesian Framework and Evolutionary Computation.},
year = {2011}
}
@article{Yang2005,
author = {Yang, L. and Giannakis, G.B.},
doi = {10.1109/TCOMM.2005.858663},
issn = {0090-6778},
journal = {IEEE Transactions on Communications},
month = nov,
number = {11},
pages = {1952--1963},
title = {Timing Ultra-Wideband Signals With Dirty Templates},
volume = {53},
year = {2005}
}
@article{Copyrights2011,
author = {Copyrights, No and Edition, First},
doi = {10.1002/tcr.201190000},
issn = {1528-0691},
journal = {Chemical record (New York, N.Y.)},
month = feb,
number = {1},
pages = {41--4},
pmid = {21308971},
title = {Table of contents.},
volume = {11},
year = {2011}
}
@phdthesis{Bajwa2009a,
author = {Bajwa, Waheed U.},
title = {NEWINFORMATION PROCESSING THEORY ANDMETHODS FOR EXPLOITING SPARSITY INWIRELESS SYSTEMS},
year = {2009}
}
@article{Wang2010,
author = {Wang, Li-Chun and Liu, Wei-Cheng},
doi = {10.1109/TWC.2010.05.080571},
issn = {1536-1276},
journal = {IEEE Transactions on Wireless Communications},
month = may,
number = {5},
pages = {1537--1542},
title = {Bit error rate analysis in IEEE 802.15.3a UWB channels},
volume = {9},
year = {2010}
}
@phdthesis{Liu2009b,
author = {Liu, Ted C.-K.},
title = {Ultra-wideband Channel Estimation with Application towards Time-of-Arrival Estimation},
year = {2009}
}
@unpublished{Stanford,
author = {Stanford},
pages = {1--5},
title = {UWB Channel Soundings and Models — Literature Overview}
}
@article{Fiorina2006,
author = {Fiorina, Jocelyn},
journal = {IEEE Proc. GLOBECOM’06},
number = {5},
pages = {0--3},
title = {A simple IR-UWB receiver adapted to multi-user interferences},
volume = {1},
year = {2006}
}
@article{Ciblat2008a,
author = {Ciblat, P and Deleuze, a and Lemartret, C},
doi = {10.1016/j.sigpro.2007.10.010},
issn = {01651684},
journal = {Signal Processing},
month = apr,
number = {4},
pages = {926--933},
title = {Cramer–Rao bounds for channel estimation in UWB impulse radio☆},
volume = {88},
year = {2008}
}
@article{Liu2008,
author = {Liu, Kuang-Hao and Ling, Xinhua and Shen, Xuemin (Sherman) and Mark, Jon W.},
doi = {10.1109/TVT.2007.912139},
issn = {0018-9545},
journal = {IEEE Transactions on Vehicular Technology},
number = {4},
pages = {2462--2473},
title = {Performance Analysis of Prioritized MAC in UWB WPAN With Bursty Multimedia Traffic},
volume = {57},
year = {2008}
}
@article{Wang2008a,
author = {Wang, Zhongmin and Arce, Gonzalo R. and Sadler, Brian M. and Paredes, Jose L. and Hoyos, Sebastian and Yu, Zhuizhuan},
doi = {10.1109/ICUWB.2008.4653375},
isbn = {978-1-4244-2216-6},
journal = {2008 IEEE International Conference on Ultra-Wideband},
month = sep,
pages = {157--160},
publisher = {Ieee},
title = {Compressed UWB signal detection with narrowband interference mitigation},
volume = {2},
year = {2008}
}
@inproceedings{Fontana2002,
author = {Fontana, Robert J},
booktitle = {IEEE International Conference on Ultra-Wideband ICUWB},
number = {May},
title = {AN INSIGHT INTO UWB INTERFERENCE FROM A SHOT NOISE PERSPECTIVE AN INSIGHT INTO UWB INTERFERENCE FROM A SHOT NOISE PERSPECTIVE},
year = {2002}
}
@article{Celebi2009,
author = {Celebi, Hasari and Qaraqe, Khalid a. and Arslan, Huseyin},
doi = {10.1109/CROWNCOM.2009.5189398},
isbn = {978-1-4244-3423-7},
journal = {2009 4th International Conference on Cognitive Radio Oriented Wireless Networks and Communications},
month = jun,
pages = {1--6},
publisher = {Ieee},
title = {Performance comparison of time delay estimation for whole and dispersed spectrum utilization in cognitive radio systems},
year = {2009}
}
@article{Booker1992,
abstract = {The partitioning of phosphatidylcholine (PC) molecular species between mixed micelles and vesicles was studied in each of seven human gallbladder biles. Biles were fractionated by Sephacryl S-300 SF gel filtration chromatography, and PC species in the micellar and vesicular fractions were quantitated by high performance liquid chromatography. Micelles were enriched in species containing unsaturated acyl groups (e.g., 16:1-18:2, 18:1-18:2, and 18:1-18:3); vesicles were enriched in more highly saturated species (e.g., 16:0-16:1, 16:0-18:1, and 18:0-18:1). Separate multivariate analyses for each bile demonstrated that the distribution of PC species between vesicles and micelles was related to the degree of sn-1 and sn-2 unsaturation, and sn-1, but not sn-2, chain length. In addition, the tendency to partition into the micellar phase was particularly marked when unsaturation was present at both the sn-1 and sn-2 positions. When this interaction was included in the multivariate analyses, the regression models accounted for virtually all of the variation in PC partitioning (for each of the seven patients r2 = 0.92-0.98, P less than 0.03). These results suggest that the partitioning of PC species between micelles and vesicles is strictly determined by sn-1 chain length and the degree of unsaturation at both the sn-1 and sn-2 positions. In light of recent reports that fatty acyl composition influences the cholesterol content of vesicles and micelles in model biles, these results raise the possibility that diet-induced alterations in the phospholipid species and the relative proportions of biliary lipid particles may influence the cholesterol-carrying capacity of bile.},
author = {Booker, M L and LaMorte, W W and Ahrendt, S a and Lillemoe, K D and Pitt, H a},
issn = {0022-2275},
journal = {Journal of lipid research},
keywords = {Bile,Bile: chemistry,Bile: enzymology,Cholesterol,Cholesterol: analysis,Chromatography, Gel,Chromatography, High Pressure Liquid,Gallbladder,Humans,Micelles,Phosphatidylcholines,Phosphatidylcholines: analysis,Phosphatidylcholines: chemistry,Phospholipases,Phospholipases: analysis},
month = oct,
number = {10},
pages = {1485--92},
pmid = {1431573},
title = {Distribution of phosphatidylcholine molecular species between mixed micelles and phospholipid-cholesterol vesicles in human gallbladder bile: dependence on acyl chain length and unsaturation.},
volume = {33},
year = {1992}
}
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publisher = {Ieee},
title = {An analytical framework for ultra-wideband communications over IEEE 802.15.4a channels},
year = {2008}
}
@article{Zhang2009,
author = {Zhang, P. and Hu, Z. and Qiu, R. C. and Sadler, B. M.},
doi = {10.1109/ICC.2009.5198584},
journal = {2009 IEEE International Conference on Communications},
keywords = {A Compressed Sensing Based Ultra-Wideband Communic},
month = jun,
pages = {1--5},
publisher = {Ieee},
title = {A Compressed Sensing Based Ultra-Wideband Communication System},
year = {2009}
}
@article{Tropp2008,
author = {Tropp, J},
doi = {10.1016/j.acha.2007.09.001},
issn = {10635203},
journal = {Applied and Computational Harmonic Analysis},
keywords = {banach space probability,basis pursuit,coherence,convex optimization,dictionary,random matrix,regularization,sparsity,uncertainty principle,underdetermined linear system},
month = jul,
number = {1},
pages = {1--24},
title = {On the conditioning of random subdictionaries☆},
volume = {25},
year = {2008}
}
@phdthesis{Wang2010a,
author = {Wang, Z.},
school = {University of Delaware},
title = {NEW SAMPLING AND DETECTION APPROACHES FOR COMPRESSED SENSING AND THEIR APPLICATION TO ULTRA WIDEBAND COMMUNICATIONS by FOR COMPRESSED SENSING AND THEIR APPLICATION TO ULTRA WIDEBAND COMMUNICATIONS by Zhongmin Wang},
year = {2010}
}
@phdthesis{MatteoSabattini2006,
author = {Sabattini, Matteo},
title = {Analysis of Impulse Radio Ultra-Wideband Systems},
year = {2006}
}
@article{Howard1992,
author = {Howard, S.J. and Pahlavan, K.},
doi = {10.1109/26.163575},
issn = {00906778},
journal = {IEEE Transactions on Communications},
number = {9},
pages = {1540--1552},
title = {Autoregressive modeling of wide-band indoor radio propagation},
volume = {40},
year = {1992}
}
@article{Hayar2005a,
author = {Hayar, A.M. and Vitetta, G.M.},
journal = {15th Mobile and Communications Summit},
pages = {1--5},
title = {Channel models for ultra-wideband communications: an overview},
year = {2005}
}
@inproceedings{Ryan2008,
author = {Ryan, O. and Debbah, M.},
booktitle = {Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks and Workshops, 2008. WiOPT 2008. 6th International Symposium on},
pages = {610--619},
publisher = {IEEE},
title = {On the limiting moments of Vandermonde random matrices},
year = {2008}
}
@article{YinZ.ShiZ.QiG.,
author = {{Yin Z., Shi Z., Qi G.}, Zhou Y.},
journal = {Information Technology Journal},
title = {Time Domain DS-UWB Channel Estimation using Maximum Likelihood Algorithm}
}
@inproceedings{Taha2002,
author = {Taha, A. and Chugg, K.M.},
booktitle = {Proceedings of IEEE Conference on Ultra-Wideband Systems and Technologies},
pages = {283--288},
title = {Multipath diversity reception of wireless multiple access time-hopping digital impulse radio},
year = {2002}
}
@article{Zhang2009b,
author = {Zhang, Jinyun and Orlik, Philip V. and Sahinoglu, Zafer and Molisch, Andreas F. and Kinney, Patrick},
doi = {10.1109/JPROC.2008.2008786},
issn = {0018-9219},
journal = {Proceedings of the IEEE},
month = feb,
number = {2},
pages = {313--331},
title = {UWB Systems for Wireless Sensor Networks},
volume = {97},
year = {2009}
}
@phdthesis{Gunderson2010,
author = {Yan, H.},
doi = {10.1097/ACM.0b013e3181ea38b0},
issn = {1938-808X},
keywords = {Curriculum,Education,Medical,Medical: organization \& administration,Medical: standards,Ohio,Schools},
month = sep,
number = {9 Suppl},
pages = {S460--3},
pmid = {20736608},
title = {Cyclostationarity Based DOA Estimation and Tracking},
volume = {85},
year = {2005}
}
@article{Li2011,
abstract = {Despite their success in identifying genes that affect complex disease or traits, current genome-wide association studies (GWASs) based on a single SNP analysis are too simple to elucidate a comprehensive picture of the genetic architecture of phenotypes. A simultaneous analysis of a large number of SNPs, although statistically challenging, especially with a small number of samples, is crucial for genetic modeling. Method: We propose a two-stage procedure for multi-SNP modeling and analysis in GWASs, by first producing a 'preconditioned' response variable using a supervised principle component analysis and then formulating Bayesian lasso to select a subset of significant SNPs. The Bayesian lasso is implemented with a hierarchical model, in which scale mixtures of normal are used as prior distributions for the genetic effects and exponential priors are considered for their variances, and then solved by using the Markov chain Monte Carlo (MCMC) algorithm. Our approach obviates the choice of the lasso parameter by imposing a diffuse hyperprior on it and estimating it along with other parameters and is particularly powerful for selecting the most relevant SNPs for GWASs, where the number of predictors exceeds the number of observations.},
author = {Li, Jiahan and Das, Kiranmoy and Fu, Guifang and Li, Runze and Wu, Rongling},
doi = {10.1093/bioinformatics/btq688},
issn = {1367-4811},
journal = {Bioinformatics (Oxford, England)},
keywords = {bayes,empirical,gibbs sampler,hierarchical models,inverse gaussian,linear regression,penalized regression,scale mixture of normals},
month = feb,
number = {4},
pages = {516--23},
pmid = {21156729},
title = {The Bayesian lasso for genome-wide association studies.},
volume = {27},
year = {2011}
}
@article{Bajwa2009b,
author = {Bajwa, WU and Sayeed, A},
journal = {Proc. 13th IEEE Digital Signal},
number = {1},
title = {Sparse multipath channels: Modeling and estimation},
year = {2009}
}
@article{Subramanian2010,
author = {Subramanian, Sushil},
journal = {Arxiv preprint arXiv:1002.2677},
number = {3},
title = {Compressed Sensing for Sparse Underwater Channel Estimation: Some Practical Considerations},
year = {2010}
}
@article{Vetterli2002,
author = {Vetterli, M. and Marziliano, P. and Blu, T.},
issn = {1053-587X},
journal = {Signal Processing, IEEE Transactions on},
number = {6},
pages = {1417--1428},
publisher = {IEEE},
title = {Sampling signals with finite rate of innovation},
volume = {50},
year = {2002}
}
@phdthesis{Zhu2005,
author = {Zhu, Mingrui},
number = {December},
school = {UNIVERSITY OF SOUTHERN CALIFORNIA},
title = {SYNCHRONIZATION IN LOW DUTY CYCLE UWB SYSTEMS USING by Mingrui Zhu A Dissertation Presented to the FACULTY OF THE GRADUATE SCHOOL UNIVERSITY OF SOUTHERN CALIFORNIA In Partial Fulfillment of the Requirements for the Degree DOCTOR OF PHILOSOPHY ( ELECTRICAL},
type = {PhD},
year = {2005}
}
@inproceedings{Syvozalizov2010,
author = {Syvozalizov, NA},
booktitle = {Ultrawideband and Ultrashort Impulse Signals (UWBUSIS), 2010 5th International Conference on},
keywords = {convergent,fourier series,representation problem,spectral analysis,ultra wideband signals},
pages = {109--110},
publisher = {IEEE},
title = {Ultra wideband signals spectral analysis},
year = {2010}
}
@article{Protter2010a,
author = {Protter, Matan and Yavneh, Irad and Elad, Michael},
doi = {10.1109/TSP.2010.2046596},
issn = {1053-587X},
journal = {IEEE Transactions on Signal Processing},
keywords = {map,mmse,sparse representations,unitary dictionary},
month = jul,
number = {7},
pages = {3471--3484},
title = {Closed-Form MMSE Estimation for Signal Denoising Under Sparse Representation Modeling Over a Unitary Dictionary},
volume = {58},
year = {2010}
}
@inproceedings{Sundman2011,
author = {Sundman, D. and Chatterjee, S. and Skoglund, M.},
booktitle = {eeweb01.ee.kth.se},
pages = {354--359},
title = {ON THE USE OF COMPRESSIVE SAMPLING FOR WIDE-BAND SPECTRUM SENSING},
year = {2011}
}
@article{Scholtz2005,
author = {Scholtz, Robert a. and Pozar, David M. and Namgoong, Won},
doi = {10.1155/ASP.2005.252},
issn = {1687-6172},
journal = {EURASIP Journal on Advances in Signal Processing},
keywords = {and phrases,selective rake receivers,transmitted-reference receivers,uwb antennas,uwb propagation,uwb radio,uwb radio architectures},
number = {3},
pages = {252--272},
title = {Ultra-Wideband Radio},
volume = {2005},
year = {2005}
}
@article{Molisch2005a,
author = {a.F. Molisch and Balakrishnan, K. and Cassioli, D. and Emami, S. and Fort, a. and Karedal, J. and Kunisch, J. and Schantz, H. and Siwiak, K.},
doi = {10.1109/GLOCOM.2005.1578452},
isbn = {0-7803-9414-3},
journal = {GLOBECOM '05. IEEE Global Telecommunications Conference, 2005.},
pages = {3648--3653},
publisher = {Ieee},
title = {A comprehensive model for ultrawideband propagation channels},
year = {2005}
}
@article{Jakobsson1998,
author = {Jakobsson, a. and a.L. Swindlehurst and Stoica, P.},
doi = {10.1109/78.709535},
issn = {1053587X},
journal = {IEEE Transactions on Signal Processing},
number = {9},
pages = {2472--2483},
title = {Subspace-based estimation of time delays and Doppler shifts},
volume = {46},
year = {1998}
}
@article{Laska2006,
author = {Laska, Jason and Kirolos, Sami and Massoud, Yehia and Baraniuk, Richard and Gilbert, Anna and Iwen, Mark and Strauss, Martin},
doi = {10.1109/DCAS.2006.321048},
isbn = {1-4244-0669-2},
journal = {2006 IEEE Dallas/CAS Workshop on Design, Applications, Integration and Software},
month = oct,
pages = {119--122},
publisher = {Ieee},
title = {Random Sampling for Analog-to-Information Conversion of Wideband Signals},
year = {2006}
}
@article{Donoho2009a,
author = {Donoho, D.L. and Maleki, A. and Montanari, Andrea},
journal = {Proceedings of the National Academy of Sciences},
number = {45},
pages = {18914},
publisher = {National Acad Sciences},
title = {Message-passing algorithms for compressed sensing},
volume = {106},
year = {2009}
}
@inproceedings{Sheng2004,
author = {Sheng, Hongsan and You, Roy and Haimovich, A.M.},
booktitle = {Proc. Conf. Inf. Sci. Syst},
number = {1},
pages = {921--926},
title = {Performance Analysis of Ultra-Wideband Rake Receivers with Channel Delay Estimation Errors},
year = {2004}
}
@article{Ben-Haim2010,
author = {Ben-Haim, Zvika and Eldar, Yonina C. and Elad, Michael},
doi = {10.1109/TSP.2010.2052460},
issn = {1053-587X},
journal = {IEEE Transactions on Signal Processing},
month = oct,
number = {10},
pages = {5030--5043},
title = {Coherence-Based Performance Guarantees for Estimating a Sparse Vector Under Random Noise},
volume = {58},
year = {2010}
}
@article{Wang2005,
author = {Wang, Zhengdao and Yang, Xiaofan},
doi = {10.1109/LSP.2005.849491},
issn = {1070-9908},
journal = {IEEE Signal Processing Letters},
month = jul,
number = {7},
pages = {520--523},
title = {Blind channel estimation for ultra wide-band communications employing pulse position modulation},
volume = {12},
year = {2005}
}
@article{Simeone,
author = {Simeone, O. and Spagnolini, U.},
doi = {10.1109/VETECS.2004.1388951},
isbn = {0-7803-8255-2},
journal = {2004 IEEE 59th Vehicular Technology Conference. VTC 2004-Spring (IEEE Cat. No.04CH37514)},
pages = {856--860},
publisher = {Ieee},
title = {Channel estimation for block-fading frequency-selective Rayleigh MIMO channels: performance limits},
}
@article{Win2002,
author = {Win, M.Z. and Scholtz, R.a.},
doi = {10.1109/JSAC.2002.805031},
issn = {0733-8716},
journal = {IEEE Journal on Selected Areas in Communications},
month = dec,
number = {9},
pages = {1613--1627},
title = {Characterization of ultra-wide bandwidth wireless indoor channels: a communication-theoretic view},
volume = {20},
year = {2002}
}
@article{Yu2009,
abstract = {In the computed tomography (CT) field, one recent invention is the so-called carbon nanotube (CNT) based field emission x-ray technology. On the other hand, compressive sampling (CS) based interior tomography is a new innovation. Combining the strengths of these two novel subjects, we apply the interior tomography technique to local mouse cardiac imaging using respiration and cardiac gating with a CNT based micro-CT scanner. The major features of our method are: (1) it does not need exact prior knowledge inside an ROI; and (2) two orthogonal scout projections are employed to regularize the reconstruction. Both numerical simulations and in vivo mouse studies are performed to demonstrate the feasibility of our methodology.},
author = {Yu, Hengyong and Cao, Guohua and Burk, Laurel and Lee, Yueh and Lu, Jianping and Santago, Pete and Zhou, Otto and Wang, Ge},
doi = {10.3233/XST-2009-0230},
issn = {1095-9114},
journal = {Journal of X-ray science and technology},
keywords = {Algorithms,Animals,Computer Simulation,Feasibility Studies,Heart,Heart: radiography,Image Processing, Computer-Assisted,Image Processing, Computer-Assisted: methods,Mice,Nanotubes, Carbon,Phantoms, Imaging,Respiration,X-Ray Microtomography,X-Ray Microtomography: instrumentation,X-Ray Microtomography: methods},
month = jan,
number = {4},
pages = {295--303},
pmid = {19923686},
title = {Compressive sampling based interior reconstruction for dynamic carbon nanotube micro-CT.},
volume = {17},
year = {2009}
}
@phdthesis{Sel2007,
author = {Sel, Yngve},
title = {Model Selection and Sparse Modeling},
year = {2007}
}
@phdthesis{Lopez-Salcedo2007,
author = {Lopez-Salcedo, J. A.},
title = {Coherent and Non-Coherent Ultra-Wideband Communications},
year = {2007}
}
@article{Cai2006,
author = {Cai, J. and Shen, X.S. and Mark, J.W. and Liu, H. and Todd, T.D.},
doi = {10.1109/TVT.2005.861179},
issn = {0018-9545},
journal = {IEEE Transactions on Vehicular Technology},
month = jan,
number = {1},
pages = {95--103},
title = {Semiblind Channel Estimation for Pulse-Based Ultra-Wideband Wireless Communication Systems},
volume = {55},
year = {2006}
}
@article{Hao2007,
author = {Hao, Kei and Gubner, John},
doi = {10.1109/TWC.2007.05438},
issn = {1536-1276},
journal = {IEEE Transactions on Wireless Communications},
month = mar,
number = {3},
pages = {811--816},
title = {The Distribution of Sums of Path Gains in the IEEE 802.15.3a UWB Channel Model},
volume = {6},
year = {2007}
}
@inproceedings{Khan2007,
author = {Khan, Aamir Ahmed and Ahmed, Syed Faraz and Abeer, Ahmed Naail and Afzal, Adnan and Malik, Kamran Ul Haq},
booktitle = {2007 International Conference on Information and Emerging Technologies},
doi = {10.1109/ICIET.2007.4381320},
isbn = {978-1-4244-1246-4},
keywords = {a vr microcontroller,attendance recording,data acquisition system,embedded system,entry,pc serial communication ys,remote data},
month = jul,
pages = {1--5},
publisher = {Ieee},
title = {Digital Attendance Recording System},
year = {2007}
}
@article{Bajwa2010,
author = {Bajwa, Waheed U and Haupt, Jarvis and Sayeed, Akbar M and Nowak, Robert},
doi = {10.1109/JPROC.2010.2042415},
issn = {0018-9219},
journal = {Proceedings of the IEEE},
month = jun,
number = {6},
pages = {1058--1076},
title = {Compressed Channel Sensing: A New Approach to Estimating Sparse Multipath Channels},
volume = {98},
year = {2010}
}
@article{Subramanian2008,
author = {Subramanian, Sushil},
journal = {www-scf.usc.edu},
number = {Summer},
pages = {1--13},
title = {Compressed Sensing Methods in Sparse Channel Estimation},
year = {2008}
}
@article{Luecken2009,
author = {Luecken, Heinrich and Steiner, Christoph and Wittneben, Armin},
doi = {10.1109/ICUWB.2009.5288771},
isbn = {978-1-4244-2930-1},
journal = {2009 IEEE International Conference on Ultra-Wideband},
month = sep,
pages = {829--833},
publisher = {Ieee},
title = {ML timing estimation for generalized UWB-IR energy detection receivers},
year = {2009}
}
@article{Hennig2006,
abstract = {The statistical properties of heart beat intervals of 130 long-term surface electrocardiogram recordings during atrial fibrillation (AF) are investigated. We find that the distribution of interbeat intervals exhibits a characteristic exponential tail, which is absent during sinus rhythm, as tested in a corresponding control study with 72 healthy persons. The rate gamma of the exponential decay lies in the range 3-12 Hz and shows diurnal variations. It equals, up to statistical uncertainties, the level of the previously uncovered white noise part of the power spectrum, which is also characteristic for AF. The overall statistical features can be described by decomposing the intervals into two statistically independent times, where the first one is associated with a correlated process with 1/f noise characteristics, while the second one belongs to an uncorrelated process and is responsible for the exponential tail. It is suggested to use gamma as a further parameter for a better classification of AF and for the medical diagnosis. The relevance of the findings with respect to a general understanding of AF is discussed.},
author = {Hennig, Thomas and Maass, Philipp and Hayano, Junichiro and Heinrichs, Stefan},
doi = {10.1007/s10867-006-9022-z},
issn = {0092-0606},
journal = {Journal of biological physics},
month = nov,
number = {5},
pages = {383--92},
pmid = {19669444},
title = {Exponential distribution of long heart beat intervals during atrial fibrillation and their relevance for white noise behaviour in power spectrum.},
volume = {32},
year = {2006}
}
@article{Liu2007a,
author = {Liu, Ted C and Kim, Dong In and Vaughan, Rodney G},
journal = {Canadian Journal of Electrical and Computer Engineering},
keywords = {channel estimation,channel impulse response,cir,clean algorithm,deconvolution,multipath channels,multiple-template,propagation,radio-wave,transient response,ultra-wideband,uwb},
number = {4},
title = {A high-resolution, multi-template deconvolution algorithm for time-domain UWB channel characterization},
volume = {32},
year = {2007}
}
@article{Wang2008,
author = {Wang, Feng and Xu, Chengqi and Ji, Xuande and Zhang, Yan},
doi = {10.1109/WiCom.2008.257},
isbn = {978-1-4244-2107-7},
journal = {2008 4th International Conference on Wireless Communications, Networking and Mobile Computing},
keywords = {-maximum likelihood,Simplified Maximum Likelihood Channel Estimation A,be classified into two,channel estimation,channel model for wireless,communications can,groups,in general,ml,so-called structured and,th-bpsk,unstructure channel,uwb},
month = oct,
pages = {1--5},
publisher = {Ieee},
title = {Simplified Maximum Likelihood Channel Estimation Algorithm for Impulse Radio UWB},
year = {2008}
}
@article{Bajwa2008,
author = {Bajwa, Waheed U. and Sayeed, Akbar and Nowak, Robert},
doi = {10.1109/ACSSC.2008.5074792},
isbn = {978-1-4244-2940-0},
journal = {2008 42nd Asilomar Conference on Signals, Systems and Computers},
month = oct,
pages = {2048--2052},
publisher = {Ieee},
title = {Compressed sensing of wireless channels in time, frequency, and space},
year = {2008}
}
@phdthesis{Zhanga,
author = {Zhang, Qiang},
title = {ULTRA-WIDEBAND (UWB) IMPULSE RADIO COMMUNICATION SYSTEM DESIGN AND PROTOTYPING},
year = {2007}
}
@article{Gigl2009,
author = {Gigl, Thomas and Buchgraber, Thomas and Adalan, Ayse and Preishuber-Pfluegl, Josef and Fischer, Michael and Witrisal, Klaus},
doi = {10.1109/ICUWB.2009.5288750},
isbn = {978-1-4244-2930-1},
journal = {2009 IEEE International Conference on Ultra-Wideband},
month = sep,
pages = {230--234},
publisher = {Ieee},
title = {UWB channel characterization using IEEE 802.15.4a demonstrator system},
year = {2009}
}
@article{Krasny,
author = {Krasny, L. and Koorapaty, H.},
doi = {10.1109/PIMRC.2000.881626},
isbn = {0-7803-6463-5},
journal = {11th IEEE International Symposium on Personal Indoor and Mobile Radio Communications. PIMRC 2000. Proceedings (Cat. No.00TH8525)},
pages = {1285--1289},
publisher = {Ieee},
title = {Performance of time of arrival estimation based on signal eigen vectors},
}
@inproceedings{WANN2004,
author = {WANN, C.D. and HSU, S.H.},
booktitle = {IEEE Vehicular Technology Conference},
isbn = {0780385217},
pages = {3560--3564},
title = {Estimation and analysis of signal arrival time for UWB systems},
year = {2004}
}
@inproceedings{Greenstein2007,
author = {Greenstein, LJ and Ghassemzadeh, SS},
booktitle = {Information Sciences and Systems, 2006 40th Annual Conference on},
isbn = {1424403499},
pages = {626--631},
publisher = {IEEE},
title = {Comparing Three Models for UWB Indoor Power Delay Profile},
year = {2007}
}
@article{StoicaP.1990,
author = {{Stoica, P.}, Nehorai A.},
journal = {IEEE Transactions on Acoustics, Speech, and Signal Processing},
number = {12},
title = {MUSIC, Maximum Likelihood, and Cramer Rao Bound: Further Results and Comparisons},
volume = {38},
year = {1990}
}
@article{Gubner2006a,
author = {Gubner, JA},
journal = {submitted for publication},
number = {2},
pages = {1--9},
title = {The IEEE 802.15. 3a UWB channel model as a two-dimensional augmented cluster process},
year = {2006}
}
@article{DeRango2009,
author = {{De Rango}, Floriano and Veltri, Fiore and Marano, Salvatore},
doi = {10.1109/VETECS.2009.5073903},
journal = {VTC Spring 2009 - IEEE 69th Vehicular Technology Conference},
keywords = {UWB Channel Modeling: A Markovian Formulation Base},
month = apr,
pages = {1--5},
publisher = {Ieee},
title = {UWB Channel Modeling: A Markovian Formulation Based on Degradation Level Concept},
year = {2009}
}
@article{Molisch2005,
author = {a.F. Molisch},
doi = {10.1109/TVT.2005.856194},
issn = {0018-9545},
journal = {IEEE Transactions on Vehicular Technology},
month = sep,
number = {5},
pages = {1528--1545},
title = {Ultrawideband Propagation Channels-Theory, Measurement, and Modeling},
volume = {54},
year = {2005}
}
@article{Abeida2006,
author = {Abeida, H. and Delmas, J.-P.},
doi = {10.1109/TSP.2006.873505},
issn = {1053-587X},
journal = {IEEE Transactions on Signal Processing},
month = jul,
number = {7},
pages = {2678--2690},
title = {MUSIC-like estimation of direction of arrival for noncircular sources},
volume = {54},
year = {2006}
}
@article{Cramer2002,
author = {Cramer, R.J.-M. and Scholtz, R.a. and Win, M.Z.},
doi = {10.1109/TAP.2002.1011221},
issn = {0018-926X},
journal = {IEEE Transactions on Antennas and Propagation},
month = may,
number = {5},
pages = {561--570},
title = {Evaluation of an ultra-wide-band propagation channel},
volume = {50},
year = {2002}
}
@article{Yang2009a,
author = {Yang, Depeng and Li, Husheng and Peterson, Gregory D. and Fathy, Aly E.},
doi = {10.1109/CISS.2009.5054715},
isbn = {978-1-4244-2733-8},
journal = {2009 43rd Annual Conference on Information Sciences and Systems},
month = mar,
pages = {192--197},
publisher = {Ieee},
title = {UWB signal acquisition in positioning systems: Bayesian compressed sensing with redundancy},
year = {2009}
}
@article{Rao1989,
author = {Rao, B.D. and Hari, K.V.S.},
doi = {10.1109/29.45540},
issn = {00963518},
journal = {IEEE Transactions on Acoustics, Speech, and Signal Processing},
number = {12},
pages = {1939--1949},
title = {Performance analysis of Root-Music},
volume = {37},
year = {1989}
}
@phdthesis{Umair,
author = {Umair-bin-Waheed},
title = {COMPARISON BETWEEN FREQUENCY DOMAIN AND TIME DOMAIN EQUALIZERS FOR UWB SYSTEMS},
year = {2008}
}
@article{Babacan2010a,
abstract = {In this paper, we model the components of the compressive sensing (CS) problem, i.e., the signal acquisition process, the unknown signal coefficients and the model parameters for the signal and noise using the Bayesian framework. We utilize a hierarchical form of the Laplace prior to model the sparsity of the unknown signal. We describe the relationship among a number of sparsity priors proposed in the literature, and show the advantages of the proposed model including its high degree of sparsity. Moreover, we show that some of the existing models are special cases of the proposed model. Using our model, we develop a constructive (greedy) algorithm designed for fast reconstruction useful in practical settings. Unlike most existing CS reconstruction methods, the proposed algorithm is fully automated, i.e., the unknown signal coefficients and all necessary parameters are estimated solely from the observation, and, therefore, no user-intervention is needed. Additionally, the proposed algorithm provides estimates of the uncertainty of the reconstructions. We provide experimental results with synthetic 1-D signals and images, and compare with the state-of-the-art CS reconstruction algorithms demonstrating the superior performance of the proposed approach.},
author = {Babacan, S Derin and Molina, Rafael and Katsaggelos, Aggelos K},
doi = {10.1109/TIP.2009.2032894},
issn = {1941-0042},
journal = {IEEE transactions on image processing : a publication of the IEEE Signal Processing Society},
month = jan,
number = {1},
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author = {Naini, Farid M. and Gribonval, Remi and Jacques, Laurent and Vandergheynst, Pierre},
doi = {10.1109/ICASSP.2009.4960224},
isbn = {978-1-4244-2353-8},
journal = {2009 IEEE International Conference on Acoustics, Speech and Signal Processing},
month = apr,
pages = {2877--2880},
publisher = {Ieee},
title = {Compressive sampling of pulse trains: Spread the spectrum!},
year = {2009}
}
@article{Maravic2003a,
author = {Maravic, I. and Kusuma, Julius and Vetterli, Martin},
issn = {1229-2370},
journal = {Journal of Communications and Networks},
number = {4},
pages = {319--327},
publisher = {Citeseer},
title = {Low-sampling rate UWB channel characterization and synchronization},
volume = {5},
year = {2003}
}
@inproceedings{Wang2007,
author = {Wang, Z. and Arce, G.R. and Sadler, B.M. and Paredes, J.L. and Ma, X.},
booktitle = {Ultra-Wideband, 2007. ICUWB 2007. IEEE International Conference on},
pages = {393--398},
publisher = {IEEE},
title = {Compressed detection for pilot assisted ultra-wideband impulse radio},
year = {2007}
}
@article{Aquilanti2009,
author = {Aquilanti, Vincenzo},
doi = {10.1021/jp9097777},
issn = {1520-5215},
journal = {The journal of physical chemistry. A},
month = dec,
number = {52},
pages = {14193--205},
pmid = {20028154},
title = {List of publications of Vincenzo Aquilanti.},
volume = {113},
year = {2009}
}
@article{Jia2007,
author = {Jia, Tao and Kim, Dong In},
doi = {10.1109/TCOMM.2007.904350},
issn = {0090-6778},
journal = {IEEE Transactions on Communications},
month = sep,
number = {9},
pages = {1822--1822},
title = {Analysis of Channel-Averaged SINR for Indoor UWB Rake and Transmitted Reference Systems},
volume = {55},
year = {2007}
}
@article{Wu2008,
author = {Wu, Wei-De and Wang, Chung-Hsuan and Chao, Chi-Chao and Witrisal, Klaus},
doi = {10.1109/VETECF.2008.61},
isbn = {978-1-4244-1721-6},
journal = {2008 IEEE 68th Vehicular Technology Conference},
keywords = {On Parameter Estimation for Ultra-Wideband Channel},
month = sep,
pages = {1--5},
publisher = {Ieee},
title = {On Parameter Estimation for Ultra-Wideband Channels with Clustering Phenomenon},
year = {2008}
}
@article{Kan2006,
author = {Kan, Wen-chih and Sobelman, Gerald},
doi = {10.1109/FPT.2006.270332},
isbn = {0-7803-9728-2},
journal = {2006 IEEE International Conference on Field Programmable Technology},
month = dec,
pages = {297--300},
publisher = {Ieee},
title = {Hardware channel model for ultra wideband systems},
year = {2006}
}
@article{Mestre2008,
author = {Mestre, Xavier},
doi = {10.1109/TSP.2008.929662},
issn = {1053-587X},
journal = {IEEE Transactions on Signal Processing},
month = nov,
number = {11},
pages = {5353--5368},
title = {On the Asymptotic Behavior of the Sample Estimates of Eigenvalues and Eigenvectors of Covariance Matrices},
volume = {56},
year = {2008}
}
@unpublished{Muqaibeld,
author = {Muqaibel, A and Safaai-Jazi, A. and Riad, S},
booktitle = {faculty.kfupm.edu.sa},
title = {Ultra Wideband vs. Narrowband Communications},
url = {http://faculty.kfupm.edu.sa/ee/muqaibel/research/papers/C12 UWB vs NB short 2.pdf}
}
@article{Hayar2005,
author = {Hayar, Aawatif Menouni and Knopp, Raymond and Saadane, Rachid},
doi = {10.1155/ASP.2005.287},
issn = {1687-6172},
journal = {EURASIP Journal on Advances in Signal Processing},
keywords = {and phrases,freedom,indoor uwb channel measurements,number of degrees of,subspace analysis},
number = {3},
pages = {287--295},
title = {Subspace Analysis of Indoor UWB Channels},
volume = {2005},
year = {2005}
}
@article{Potter2008,
author = {Potter, Lee C. and Schniter, Philip and Ziniel, Justin},
doi = {10.1109/ACSSC.2008.5074527},
isbn = {978-1-4244-2940-0},
journal = {2008 42nd Asilomar Conference on Signals, Systems and Computers},
month = oct,
number = {3},
pages = {838--842},
publisher = {Ieee},
title = {A fast posterior update for sparse underdetermined linear models},
year = {2008}
}
@inproceedings{Zhang2010,
author = {Zhang, Peng and Qiu, R.},
booktitle = {5th International Waveform Diversity \& Design Conference},
title = {Wireless Tomography, Part III: Compressed Sensing for Ultra-wideband Signals},
year = {2010}
}
@phdthesis{Al-Al,
author = {Al-Ali, Mustafa Naser},
title = {Land seismic data acquisition and preprocessing},
year = {2007}
}
@article{Kennelly2003,
author = {Kennelly, R J},
issn = {0899-8205},
journal = {Biomedical instrumentation \& technology / Association for the Advancement of Medical Instrumentation},
keywords = {Biomedical Engineering,Biomedical Engineering: standards,Calibration,Communication,Computer Communication Networks,Data Collection,Data Collection: standards,Economic Competition,Equipment Design,Equipment Design: standards,Equipment and Supplies,Equipment and Supplies: standards,Programming Languages,Societies,Systems Integration},
number = {2},
pages = {172--5},
pmid = {8673168},
title = {IEEE standards for physical and data communications.},
volume = {30},
year = {2003}
}
@article{Dai2009,
abstract = {Compressive sensing microarrays (CSMs) are DNA-based sensors that operate using group testing and compressive sensing (CS) principles. In contrast to conventional DNA microarrays, in which each genetic sensor is designed to respond to a single target, in a CSM, each sensor responds to a set of targets. We study the problem of designing CSMs that simultaneously account for both the constraints from CS theory and the biochemistry of probe-target DNA hybridization. An appropriate cross-hybridization model is proposed for CSMs, and several methods are developed for probe design and CS signal recovery based on the new model. Lab experiments suggest that in order to achieve accurate hybridization profiling, consensus probe sequences are required to have sequence homology of at least 80\% with all targets to be detected. Furthermore, out-of-equilibrium datasets are usually as accurate as those obtained from equilibrium conditions. Consequently, one can use CSMs in applications in which only short hybridization times are allowed.},
author = {Dai, Wei and Sheikh, Mona a and Milenkovic, Olgica and Baraniuk, Richard G},
doi = {10.1155/2009/162824},
issn = {1687-4145},
journal = {EURASIP journal on bioinformatics \& systems biology},
month = jan,
number = {July},
pages = {162824},
pmid = {19158952},
title = {Compressive sensing DNA microarrays.},
year = {2009}
}
@article{Tan2010,
author = {Tan, Xing and Li, Jian},
number = {4},
pages = {2010--2021},
title = {Learning via Belief Propagation},
volume = {58},
year = {2010}
}
@article{Donoho2009,
abstract = {We review connections between phase transitions in high-dimensional combinatorial geometry and phase transitions occurring in modern high-dimensional data analysis and signal processing. In data analysis, such transitions arise as abrupt breakdown of linear model selection, robust data fitting or compressed sensing reconstructions, when the complexity of the model or the number of outliers increases beyond a threshold. In combinatorial geometry, these transitions appear as abrupt changes in the properties of face counts of convex polytopes when the dimensions are varied. The thresholds in these very different problems appear in the same critical locations after appropriate calibration of variables. These thresholds are important in each subject area: for linear modelling, they place hard limits on the degree to which the now ubiquitous high-throughput data analysis can be successful; for robustness, they place hard limits on the degree to which standard robust fitting methods can tolerate outliers before breaking down; for compressed sensing, they define the sharp boundary of the undersampling/sparsity trade-off curve in undersampling theorems. Existing derivations of phase transitions in combinatorial geometry assume that the underlying matrices have independent and identically distributed Gaussian elements. In applications, however, it often seems that Gaussianity is not required. We conducted an extensive computational experiment and formal inferential analysis to test the hypothesis that these phase transitions are universal across a range of underlying matrix ensembles. We ran millions of linear programs using random matrices spanning several matrix ensembles and problem sizes; visually, the empirical phase transitions do not depend on the ensemble, and they agree extremely well with the asymptotic theory assuming Gaussianity. Careful statistical analysis reveals discrepancies that can be explained as transient terms, decaying with problem size. The experimental results are thus consistent with an asymptotic large-n universality across matrix ensembles; finite-sample universality can be rejected.},
author = {Donoho, David and Tanner, Jared},
doi = {10.1098/rsta.2009.0152},
issn = {1364-503X},
journal = {Philosophical transactions. Series A, Mathematical, physical, and engineering sciences},
keywords = {compressed sensing,datasets,geometric combinatorics,high dimension low sample,high-throughput measurements,robust linear models,size},
month = nov,
number = {1906},
pages = {4273--93},
pmid = {19805445},
title = {Observed universality of phase transitions in high-dimensional geometry, with implications for modern data analysis and signal processing.},
volume = {367},
year = {2009}
}
@article{Vallet2009,
author = {Vallet, P. and Loubaton, P. and Mestre, X.},
doi = {10.1109/ICASSP.2009.4960039},
isbn = {978-1-4244-2353-8},
journal = {2009 IEEE International Conference on Acoustics, Speech and Signal Processing},
month = apr,
pages = {2137--2140},
publisher = {Ieee},
title = {Improved subspace DoA estimation methods with large arrays: The deterministic signals case},
year = {2009}
}
@phdthesis{Cheng2007,
author = {Cheng, X.},
school = {University of Saskatchewan},
title = {UWB Communication Systems Acquisition at Symbol Rate Sampling for IEEE Standard Channel Models},
type = {MS},
year = {2007}
}
@inproceedings{Lampe2010,
author = {Lampe, L. and Witrisal, Klaus},
booktitle = {Circuits and Systems (ISCAS), Proceedings of 2010 IEEE International Symposium on},
pages = {3288--3291},
publisher = {IEEE},
title = {Challenges and recent advances in IR-UWB system design},
year = {2010}
}
@misc{TheMendeleySupportTeam2011,
abstract = {A quick introduction to Mendeley. Learn how Mendeley creates your personal digital library, how to organize and annotate documents, how to collaborate and share with colleagues, and how to generate citations and bibliographies.},
address = {London},
author = {{The Mendeley Support Team}},
booktitle = {Mendeley Desktop},
keywords = {Mendeley,how-to,user manual},
pages = {1--16},
publisher = {Mendeley Ltd.},
title = {Getting Started with Mendeley},
url = {http://www.mendeley.com},
year = {2011}
}
@article{Molisch2006,
author = {a.F. Molisch and Cassioli, D. and Emami, S. and Fort, a. and Kannan, B. and Karedal, J. and Kunisch, J. and Schantz, H.G. and Siwiak, K. and Win, M.Z.},
doi = {10.1109/TAP.2006.883983},
issn = {0018-926X},
journal = {IEEE Transactions on Antennas and Propagation},
month = nov,
number = {11},
pages = {3151--3166},
title = {A Comprehensive Standardized Model for Ultrawideband Propagation Channels},
volume = {54},
year = {2006}
}
@article{Baron2009,
arxivId = {arXiv:0812.4627v2},
author = {Baron, Dror and Sarvotham, Shriram and Baraniuk, R.G.},
issn = {1053-587X},
journal = {Signal Processing, IEEE Transactions on},
number = {1},
pages = {269--280},
publisher = {IEEE},
title = {Bayesian compressive sensing via belief propagation},
volume = {58},
year = {2009}
}
@article{Yang2010,
author = {Yang, Depeng and Li, Husheng and Peterson, Gregory D.},
doi = {10.1109/CISS.2010.5464905},
isbn = {978-1-4244-7416-5},
journal = {2010 44th Annual Conference on Information Sciences and Systems (CISS)},
month = mar,
pages = {1--5},
publisher = {Ieee},
title = {Message passing Bayesian Compressed Sensing for UWB pulse acquisition},
year = {2010}
}
@article{Tang2010,
author = {Tang, Gongguo and Nehorai, Arye},
issn = {0018-9448},
journal = {Information Theory, IEEE Transactions on},
number = {3},
pages = {1383--1399},
publisher = {IEEE},
title = {Performance analysis for sparse support recovery},
volume = {56},
year = {2010}
}
@article{Tibshirani1997,
abstract = {I propose a new method for variable selection and shrinkage in Cox's proportional hazards model. My proposal minimizes the log partial likelihood subject to the sum of the absolute values of the parameters being bounded by a constant. Because of the nature of this constraint, it shrinks coefficients and produces some coefficients that are exactly zero. As a result it reduces the estimation variance while providing an interpretable final model. The method is a variation of the 'lasso' proposal of Tibshirani, designed for the linear regression context. Simulations indicate that the lasso can be more accurate than stepwise selection in this setting.},
author = {Tibshirani, R},
issn = {0277-6715},
journal = {Statistics in medicine},
keywords = {Humans,Karnofsky Performance Status,Likelihood Functions,Liver Cirrhosis,Liver Cirrhosis: etiology,Liver Cirrhosis: mortality,Lung Neoplasms,Lung Neoplasms: mortality,Proportional Hazards Models,Randomized Controlled Trials as Topic,Randomized Controlled Trials as Topic: methods,Survival Analysis},
month = feb,
number = {4},
pages = {385--95},
pmid = {9044528},
title = {The lasso method for variable selection in the Cox model.},
volume = {16},
year = {1997}
}
@article{Donoho2009b,
author = {Donoho, D.L. and Maleki, A. and Montanari, Andrea},
journal = {Proceedings of the National Academy of Sciences},
number = {45},
pages = {18914},
publisher = {National Acad Sciences},
title = {Message-passing algorithms for compressed sensing},
volume = {106},
year = {2009}
}
@article{Cramer1999,
author = {Cramer, J.M. and Scholtz, R.a. and Win, M.Z.},
doi = {10.1109/MILCOM.1999.821392},
isbn = {0-7803-5538-5},
journal = {MILCOM 1999. IEEE Military Communications. Conference Proceedings (Cat. No.99CH36341)},
number = {c},
pages = {1191--1195},
publisher = {Ieee},
title = {On the analysis of UWB communication channels},
volume = {00},
year = {1999}
}
@article{Win1998a,
author = {Win, M.Z. and Scholtz, R.a.},
doi = {10.1109/4234.660796},
issn = {10897798},
journal = {IEEE Communications Letters},
number = {2},
pages = {36--38},
title = {Impulse radio: how it works},
volume = {2},
year = {1998}
}
@misc{Ma2004,
author = {Ma, J},
booktitle = {Neurocomputing},
doi = {10.1016/j.neucom.2004.04.004},
issn = {09252312},
month = oct,
pages = {455--459},
title = {SVM training with duplicated samples and its application in SVM-based ensemble methods},
url = {http://linkinghub.elsevier.com/retrieve/pii/S0925231204002395},
volume = {61},
year = {2004}
}
@article{Arce2007,
author = {Arce, Gonzalo R. and Paredes, Jose L. and Sadler, Brian M.},
doi = {10.1109/SPAWC.2007.4401384},
isbn = {978-1-4244-0954-9},
journal = {2007 IEEE 8th Workshop on Signal Processing Advances in Wireless Communications},
month = jun,
pages = {1--5},
publisher = {Ieee},
title = {Compressed detection for ultra-wideband impulse radio},
year = {2007}
}
@article{Rauhut2008,
author = {Rauhut, Holger and Schnass, Karin and Vandergheynst, Pierre},
doi = {10.1109/TIT.2008.920190},
issn = {0018-9448},
journal = {IEEE Transactions on Information Theory},
keywords = {basis pursuit,compressed sensing,olding,orthogonal matching pursuit,random matrix,re-,redundant dic-,sparse approximation,stricted isometry constants,thresh-,tionary},
month = may,
number = {5},
pages = {2210--2219},
title = {Compressed Sensing and Redundant Dictionaries},
volume = {54},
year = {2008}
}
@article{Alizad2006,
author = {Alizad, a. and Alipanahi, B. and Ghasemi, a. and Shiva, M. and Jamali, S. and Nader-Esfahani, S.},
doi = {10.1109/ICC.2006.255385},
isbn = {1-4244-0354-5},
issn = {8164-9547},
journal = {2006 IEEE International Conference on Communications},
month = jun,
number = {2},
pages = {4717--4722},
publisher = {Ieee},
title = {A Blind Channel Estimation Technique for TH-PPM UWB Systems},
year = {2006}
}
@article{Chen2006,
author = {Chen, Yunfei and Beaulieu, Norman},
doi = {10.1109/ICC.2006.255384},
isbn = {1-4244-0354-5},
issn = {8164-9547},
journal = {2006 IEEE International Conference on Communications},
month = jun,
number = {c},
pages = {4712--4716},
publisher = {Ieee},
title = {Approximate MAP Nakagami m Parameter Estimator for Indoor Ultra-Wide Bandwidth Channels},
volume = {00},
year = {2006}
}
@article{Wu2004,
author = {Wu, Lin and Tian, Zhi},
doi = {10.1109/ICASSP.2004.1326879},
isbn = {0-7803-8484-9},
journal = {2004 IEEE International Conference on Acoustics, Speech, and Signal Processing},
pages = {iv--525--iv--528},
publisher = {Ieee},
title = {Capacity-maximizing resource allocation for data-aided timing and channel estimation in ultra-wideband radios},
year = {2004}
}
@article{Simeone2007,
author = {Simeone, O. and Spagnolini, U.},
doi = {10.1109/CISS.2007.4298355},
isbn = {1-4244-1063-3},
journal = {2007 41st Annual Conference on Information Sciences and Systems},
month = mar,
number = {1},
pages = {490--493},
publisher = {Ieee},
title = {Estimation of block-fading channels with reduced-rank correlation matrix},
volume = {2},
year = {2007}
}
@article{Niu2009,
author = {Niu, Weihong and Li, Jia and Talty, Timothy},
doi = {10.1155/2009/806209},
issn = {1687-1472},
journal = {EURASIP Journal on Wireless Communications and Networking},
pages = {1--13},
title = {Ultra-Wideband Channel Modeling for Intravehicle Environment},
volume = {2009},
year = {2009}
}
@article{Ridolfi,
author = {Ridolfi, a. and Win, M.Z.},
doi = {10.1109/ICU.2005.1570072},
isbn = {0-7803-9397-X},
journal = {2005 IEEE International Conference on Ultra-Wideband},
number = {1},
pages = {690--694},
publisher = {Ieee},
title = {UWB Signals as Shot Noises},
}
@article{Muqaibela,
author = {Muqaibel, a. and Safaai-Jazi, a. and Woerner, B. and Riad, S.},
doi = {10.1109/MWSCAS.2002.1187112},
isbn = {0-7803-7523-8},
journal = {The 2002 45th Midwest Symposium on Circuits and Systems, 2002. MWSCAS-2002.},
pages = {III--605--8},
publisher = {Ieee},
title = {UWB channel impulse response characterization using deconvolution techniques},
}
@article{Huang2004,
author = {Huang, L. and Ko, C.C.},
doi = {10.1109/LCOMM.2004.831330},
issn = {1089-7798},
journal = {IEEE Communications Letters},
month = jun,
number = {6},
pages = {356--358},
title = {Performance of Maximum-Likelihood Channel Estimator for UWB Communications},
volume = {8},
year = {2004}
}
@article{Roy2004,
author = {Roy, S. and Foerster, J.R. and Somayazulu, V.S. and Leeper, D.G.},
doi = {10.1109/JPROC.2003.821910},
issn = {0018-9219},
journal = {Proceedings of the IEEE},
keywords = {ackground,as any,by the federal communications,commission,defined,fcc,i,i ntroduction and b,personal area networks,technology is at present,ultrawide band,ultrawideband,uwb,wireless},
month = feb,
number = {2},
pages = {295--311},
title = {Ultrawideband Radio Design: The Promise of High-Speed, Short-Range Wireless Connectivity},
volume = {92},
year = {2004}
}
@article{Bajwa2010a,
author = {Bajwa, Waheed U and Haupt, Jarvis and Sayeed, Akbar M and Nowak, Robert},
doi = {10.1109/JPROC.2010.2042415},
issn = {0018-9219},
journal = {Proceedings of the IEEE},
month = jun,
number = {6},
pages = {1058--1076},
title = {Compressed Channel Sensing: A New Approach to Estimating Sparse Multipath Channels},
volume = {98},
year = {2010}
}
@article{Baraniuk2010b,
author = {Baraniuk, Richard G. and Cevher, Volkan and Wakin, Michael B.},
journal = {Proceedings of the IEEE},
keywords = {compression,compressive sensing,dimensional-,ity reduction,low-dimensional signal models that,manifold,perspective a number of,point cloud,reduction,sparsity,stable embedding,support stable information-preserving dimensionali},
month = jun,
number = {6},
pages = {959--971},
title = {Low-Dimensional Models for Dimensionality Reduction and Signal Recovery: A Geometric Perspective},
volume = {98},
year = {2010}
}
@article{Goeckel,
author = {Goeckel, D.L.},
doi = {10.1109/UWBST.2003.1267821},
isbn = {0-7803-8187-4},
journal = {IEEE Conference on Ultra Wideband Systems and Technologies, 2003},
pages = {147--151},
publisher = {Ieee},
title = {Generalized transmitted-reference UWB systems},
}
@article{Tian2005,
author = {Tian, Zhi and Wu, Lin},
doi = {10.1155/ASP.2005.439},
issn = {1687-6172},
journal = {EURASIP Journal on Advances in Signal Processing},
number = {3},
pages = {439--454},
title = {Timing Acquisition with Noisy Template for Ultra-Wideband Communications in Dense Multipath},
volume = {2005},
year = {2005}
}
@article{Bajwa2009,
author = {Bajwa, Waheed U. and Sayeed, Akbar M. and Nowak, Robert},
doi = {10.1109/ALLERTON.2009.5394883},
isbn = {978-1-4244-5870-7},
journal = {2009 47th Annual Allerton Conference on Communication, Control, and Computing (Allerton)},
month = sep,
pages = {1005--1012},
publisher = {Ieee},
title = {A restricted isometry property for structurally-subsampled unitary matrices},
year = {2009}
}
@inproceedings{Tzagkarakis,
author = {Tzagkarakis, George and Tsakalides, Panagiotis},
booktitle = {Proc. Europ. Sig. Proc. Conf.(EUSIPCO’09)},
pages = {24--28},
publisher = {Citeseer},
title = {Bayesian Compressed Sensing of a Highly Impulsive Signal in Heavy-Tailed Noise using a Multivariate Cauchy Prior},
}
@phdthesis{Faculty2004,
author = {Faculty, The Academic and Fulfillment, In Partial},
number = {July},
title = {Direction-of-arrival Estimation of Wideband Sources Using Sensor Arrays Yeo-Sun Yoon Direction-of-arrival Estimation of Wideband Sources Using Sensor Arrays},
year = {2004}
}
@article{Benzi:2006p82,
abstract = {We study spectral properties of a class of block 2 × 2 matrices that arise in the solution of saddle point problems. These matrices are obtained by a sign change in the second block equation of the symmetric saddle point linear system. We give conditions for having a (positive) real spectrum and for ensuring diagonalizability of the matrix. In particular, we show that these properties hold for the discrete Stokes operator, and we discuss the implications of our characterization for augmented Lagrangian formulations, for Krylov subspace solvers and for certain types of preconditioners.},
author = {Benzi, Michele and Simoncini, Valeria},
journal = {Numerische Mathematik},
month = mar,
number = {2},
pages = {173--196},
publisher = {Springer},
title = {On the eigenvalues of a class of saddle point matrices},
volume = {103},
year = {2006}
}
@book{Nocedal2000,
address = {New York},
author = {Nocedal, Jorge and Wright, Stephen J and Mikosch, Thomas V and Resnick, Sidney I and Robinson, Stephen M},
edition = {2},
editor = {Mikosch, Thomas V and Resnick, Sidney I and Robinson, Stephen M},
publisher = {Springer},
title = {Numerical optimization},
year = {2000}
}
@article{Steihaug1983,
abstract = {Algorithms based on trust regions have been shown to be robust methods for unconstrained optimization problems. All existing methods, either based on the dogleg strategy of Hebden-Mor\'{e}e iterations, require solution of system of linear equations. In large scale optimization this may be prohibitively expensive. It is shown in this paper that an approximate solution of the trust region problem may be found by the preconditioned conjugate gradient method. This may be regarded as a generalized dogleg technique where we asymptotically take the inexact quasi-Newton step. We also show that we have the same convergence properties as existing methods based on the dogleg strategy using an approximate Hessian},
author = {Steihaug, Trond},
journal = {SIAM Journal on Numerical Analysis},
keywords = {locally constrained steps,negative curvature,unconstrained optimization},
number = {3},
pages = {626--637},
publisher = {JSTOR},
title = {The conjugate gradient method and trust regions in large scale optimization},
volume = {20},
year = {1983}
}
@article{Benzi:2005p52,
abstract = {Large linear systems of saddle point type arise in a wide variety of applications throughout computational science and engineering. Due to their indefiniteness and often poor spectral properties, such linear systems represent a significant challenge for solver developers. In recent years there has been a surge of interest in saddle point problems, and numerous solution techniques have been proposed for this type of system. The aim of this paper is to present and discuss a large selection of solution methods for linear systems in saddle point form, with an emphasis on iterative methods for large and sparse problems.},
author = {Benzi, Michele and Golub, Gene H and Liesen, J\"{o}rg},
journal = {Acta Numerica},
month = apr,
number = {1},
pages = {1--137},
publisher = {Cambridge Univ Press},
title = {Numerical solution of saddle point problems},
volume = {14},
year = {2005}
}
@article{Benzi:2002p40,
abstract = {This article surveys preconditioning techniques for the iterative solution of large linear systems, with a focus on algebraic methods suitable for general sparse matrices. Covered topics include progress in incomplete factorization methods, sparse approximate inverses, reorderings, parallelization issues, and block and multilevel extensions. Some of the challenges ahead are also discussed. An extensive bibliography completes the paper.},
author = {Benzi, Michele},
journal = {Journal of Computational Physics},
keywords = {algebraic preconditioners,block algorithms,incomplete factorizations,iterative methods,linear systems,multilevel methods,orderings,parallel computing,sparse approximate inverses,sparse matrices,unstructured grids},
month = nov,
number = {2},
pages = {418--477},
title = {Preconditioning Techniques for Large Linear Systems: A Survey},
volume = {182},
year = {2002}
}
@article{Elad2008,
author = {Elad, Michael and Mairal, J. and Sapiro, G. and Others},
journal = {IEEE Transactions on Image Processing},
number = {1},
pages = {53},
publisher = {Citeseer},
title = {Sparse representation for color image restoration},
volume = {17},
year = {2008}
}
@article{Gowreesunker2010,
abstract = {The main goal of this paper is to propose application of modern multidimensional systems identification algorithms of the subspace identification theory in the context of fMRI data analysis. The methods originated in 1990s in the field of process control and identification and yield robust linear model parameter estimates for systems with many inputs, outputs and states. Our ultimate goal is to establish an alternative to the DCM analysis procedure which would eliminate its main drawbacks, namely the need to pre-define the models structure. The paper discusses results based on simulated data provided by the DCM simulator in the SPM toolbox. Several scenarios are presented, with varying amount of noise and number of data samples.},
author = {Gowreesunker, BV and Tewfik, AH},
journal = {IEEE Transactions on Signal Processing},
month = jan,
number = {6},
pages = {1--1},
title = {Learning Sparse Representation Using Iterative Subspace Identification},
volume = {58},
year = {2010}
}
@article{Rauhut2007,
author = {Rauhut, H},
journal = {Applied and Computational Harmonic Analysis},
keywords = {1 -minimization,basis pursuit,random matrices,random sampling,set partitions,sparse recovery,trigonometric polynomials},
number = {1},
pages = {16--42},
title = {Random sampling of sparse trigonometric polynomials},
volume = {22},
year = {2007}
}
@article{Babaie-Zadeh2010a,
author = {Babaie-Zadeh, Massoud and Jutten, Christian},
journal = {IEEE Transactions on Signal Processing},
number = {10},
pages = {5397--5400},
title = {On the Stable Recovery of the Sparsest Overcomplete Representations in Presence of Noise II},
volume = {58},
year = {2010}
}
@article{Fontaine2011,
abstract = {When foraging, so-called FM-bats emit sequences of frequency modulated (FM) calls in order to detect, identify, and localize edible prey. Once a potential target has been detected, various call and call sequence parameters, such as frequency sweep, pulse duration, and inter pulse interval (IPI) vary. In this paper, the possible functions of the variation of the IPI are studied. In particular, it is conjectured that the IPI patterns are an adaptive behavior that optimizes the signal design parameters in order to improve information retrieval. Such an irregular sampling strategy would be useful whenever bats need to characterize signal modulation (e.g., the wing beat of an insect) using a call emission rate lower than the signal modulation of interest. This problem can be recast as extracting features, in this case the joint acoustic and modulation frequency representation, from signals sampled at frequencies well below the Nyquist cut-off frequency. To study the possibility of such target classification using a sub-Nyquist sampling scheme, results derived in the context of compressive sensing are used. Processing echoes collected from both rotating computer fans and fluttering locusts, it is shown that such a strategy would allow FM-bats to discriminate between targets based on their different fluttering rates.},
author = {Fontaine, Bertrand and Peremans, Herbert},
issn = {1520-8524},
journal = {The Journal of the Acoustical Society of America},
month = feb,
number = {2},
pages = {1100},
title = {Compressive sensing: A strategy for fluttering target discrimination employed by bats emitting broadband calls.},
volume = {129},
year = {2011}
}
@article{Taubock2010,
author = {Taub\"{o}ck, Georg and Hlawatsch, Franz and Member, Senior and Eiwen, Daniel and Member, Student},
journal = {IEEE Journal of Selected Topics in Signal Processing},
number = {2},
pages = {255--271},
title = {Compressive Estimation of Doubly Selective Channels in Multicarrier Systems : Leakage Effects and Sparsity-Enhancing Processing},
volume = {4},
year = {2010}
}
@article{Matei2009,
author = {Matei, B. and Meyer, Y.},
journal = {Revista Matem\'{a}tica Iberoamericana},
number = {2},
pages = {669--692},
title = {A variant of compressed sensing},
volume = {25},
year = {2009}
}
@article{DeVore2009,
author = {DeVore, Ronald A. and Cohen, Albert and Dahmen, Wolfgang},
journal = {Journal of the American Mathematical Society},
keywords = {1 -minimization,and phrases,best k-term approximation,coders,compressed sensing,gauss-,gelfand width,ian and bernoulli ensembles,instance optimal de-,instance optimality in,mixed instance optimality,null space property,random matrices,restricted isometry property},
number = {1},
pages = {211--231},
title = {Compressed sensing and best k-term approximation},
volume = {22},
year = {2009}
}
@article{Candes2008b,
author = {Candes},
journal = {IEEE Signal Processing Magazine},
number = {2},
title = {Special Issue: Sensing, Sampling and Compression},
volume = {25},
year = {2008}
}
@article{Baraniuk2010b,
author = {Baraniuk, Richard G. and Cevher, Volkan and Wakin, Michael B.},
journal = {Proceedings of the IEEE},
keywords = {compression,compressive sensing,dimensional-,ity reduction,low-dimensional signal models that,manifold,perspective a number of,point cloud,reduction,sparsity,stable embedding,support stable information-preserving dimensionali},
month = jun,
number = {6},
pages = {959--971},
title = {Low-Dimensional Models for Dimensionality Reduction and Signal Recovery: A Geometric Perspective},
volume = {98},
year = {2010}
}
@article{Ji2008,
author = {Ji, S. and Xue, Y. and Carin, L.},
journal = {IEEE Transactions on Signal Processing},
number = {6},
pages = {2346--2356},
publisher = {Citeseer},
title = {Bayesian compressive sensing},
volume = {56},
year = {2008}
}
@article{Yang2010a,
abstract = {In this paper, a sparse representation method is proposed for Magnetic Resonance spectroscopy (MRS) quantification. An observed MR spectrum is composed of a set of metabolic spectra of interest, a baseline and a noise. To separate the spectra of interest, the a priori knowledge about these spectra, such as signal models, the peak frequencies and linewidth ranges of different resonances, is first integrated to construct a dictionary. The separation of the spectra of interest is then performed by using a pursuit algorithm to find their sparse representations with respect to the dictionary. For the challenging baseline problem, a wavelet filter is proposed to filter the smooth and broad components of both the observed spectra and the basis functions in the dictionary. The computation of sparse representation can then be carried out by using the remaining data. Simulation results show the good performance of this wavelet filtering based strategy in separating the overlapping components between the baselines and the spectra of interest when no appropriate model function for the baseline is available. Quantifications of in vivo brain MR spectra from tumor patients in different stages of progression demonstrate the effectiveness of the proposed method.},
author = {Yang, A.Y. and Gastpar, M. and Bajcsy, R. and Sastry, S.S.},
journal = {Proceedings of the IEEE},
month = may,
number = {6},
pages = {1077--1088},
publisher = {Citeseer},
title = {Distributed Sensor Perception via Sparse Representation},
volume = {98},
year = {2010}
}
@article{Baraniuk2010a,
author = {Baraniuk, Richard G. and Cevher, Volkan and Duarte, Marco F. and Hegde, Chinmay},
journal = {IEEE Transactions on Information Theory},
month = apr,
number = {4},
pages = {1982--2001},
title = {Model-Based Compressive Sensing},
volume = {56},
year = {2010}
}
@article{Patel2010,
author = {Patel, Vishal M and Member, Student and Easley, Glenn R and Healy, Dennis M},
journal = {IEEE Journal of Selected Topics in Signal Processing},
number = {2},
pages = {244--254},
title = {Compressed Synthetic Aperture Radar},
volume = {4},
year = {2010}
}
@article{Wright2010,
author = {Wright, J. and Ma, Y. and Mairal, Julien and Sapiro, Guillermo and Huang, T. and Yan, Shuicheng and APPLICATIONS, MINNESOTA UNIV MINNEAPOLIS INST FOR MATHEMATICS AND ITS},
journal = {Proceedings of the IEEE},
number = {6},
pages = {1031--1044},
title = {Sparse Representation for Computer Vision and Pattern Recognition},
volume = {98},
year = {2010}
}
@article{Dasgupta2003,
author = {Dasgupta, Sanjoy and Gupta, Anupam},
journal = {Random Structures and Algorithms},
number = {1},
pages = {60--65},
title = {An elementary proof of a theorem of Johnson and Lindenstrauss},
volume = {22},
year = {2003}
}
@article{Chartrand2010,
author = {Chartrand, Rick and Baraniuk, Richard G. and Eldar, Yonina C. and Figueiredo, Mario A. T. and Tanner, Jared},
journal = {IEEE Journal of Selected Topics in Signal Processing},
number = {2},
pages = {241--243},
title = {Introduction to the Issue on Compressive Sensing},
volume = {4},
year = {2010}
}
@article{Rauhut2008,
author = {Rauhut, Holger},
journal = {IEEE Transactions on Information Theory},
month = dec,
number = {12},
pages = {5661--5670},
title = {Stability Results for Random Sampling of Sparse Trigonometric Polynomials},
volume = {54},
year = {2008}
}
@inbook{Mohimani2007,
abstract = {In this paper, a new algorithm for Sparse Component Analysis (SCA) or atomic decomposition on over-complete dictionaries is
  presented. The algorithm is essentially a method for obtaining sufficiently sparse solutions of underdetermined systems of
  linear equations. The solution obtained by the proposed algorithm is compared with the minimum ℓ1-norm solution achieved by Linear Programming (LP). It is experimentally shown that the proposed algorithm is about two orders
  of magnitude faster than the state-of-the-art ℓ1-magic, while providing the same (or better) accuracy.},
address = {Berlin, Heidelberg},
author = {Mohimani, G. and Babaie-Zadeh, Massoud and Jutten, Christian},
booktitle = {Independent Component Analysis and Signal Separation},
pages = {389--396},
publisher = {Springer Berlin Heidelberg},
series = {Lecture Notes in Computer Science},
title = {Fast Sparse Representation Based on Smoothed ℓ0 Norm},
volume = {4666},
year = {2007}
}
@article{Rubinstein2010,
author = {Rubinstein, Ron and Bruckstein, Alfred M. and Elad, Michael},
journal = {Proceedings of the IEEE},
keywords = {approximation,dictionary learning,harmonic analysis,signal,signal representation,sparse,sparse coding},
month = jun,
number = {6},
pages = {1045--1057},
title = {Dictionaries for Sparse Representation Modeling},
volume = {98},
year = {2010}
}
@article{Cevher2008a,
author = {Cevher, Volkan},
journal = {NIPS, Vancouver, BC, Canada},
number = {i},
pages = {7----12},
publisher = {Citeseer},
title = {Learning with compressible priors},
year = {2008}
}
@article{Eldar2009a,
author = {Eldar, Yonina C. and Mishali, M.},
journal = {IEEE Trans. Signal Process},
number = {3},
pages = {993--1009},
title = {Blind multi-band signal reconstruction: Compressed sensing for analog signals},
volume = {57},
year = {2009}
}
@article{Johnson,
author = {Johnson, W.B. and Naor, Assaf},
journal = {Discrete and Computational Geometry},
number = {X},
pages = {1--12},
publisher = {Springer},
title = {The Johnson–Lindenstrauss Lemma Almost Characterizes Hilbert Space, But Not Quite},
volume = {2}
}
@article{Donoho1992,
author = {Donoho, David L. and Logan, B. F.},
journal = {SIAM Journal on Applied Mathematics},
number = {2},
pages = {577},
title = {Signal Recovery and the Large Sieve},
volume = {52},
year = {1992}
}
@article{Bugeau2010,
abstract = {Inpainting is the art of modifying an image in a form that is not detectable by an ordinary observer. There are numerous and very different approaches to tackle the inpainting problem, though as explained in this paper, the most successful algorithms are based upon one or two of the following three basic techniques: copy-and-paste texture synthesis, geometric partial differential equations (PDEs), and coherence among neighboring pixels. We combine these three building blocks in a variational model, and provide a working algorithm for image inpainting trying to approximate the minimum of the proposed energy functional. Our experiments show that the combination of all three terms of the proposed energy works better than taking each term separately, and the results obtained are within the state-of-the-art.},
author = {Bugeau, Aur\'{e}lie and Bertalm\'{\i}o, Marcelo and Caselles, Vicent and Sapiro, Guillermo},
journal = {IEEE transactions on image processing : a publication of the IEEE Signal Processing Society},
month = oct,
number = {10},
pages = {2634--45},
title = {A comprehensive framework for image inpainting.},
volume = {19},
year = {2010}
}
@article{Jin2010,
author = {Jin, Jian and Gu, Yuantao and Mei, Shunliang},
journal = {IEEE Journal of Selected Topics in Signal Processing},
month = apr,
number = {2},
pages = {409--420},
title = {A Stochastic Gradient Approach on Compressive Sensing Signal Reconstruction Based on Adaptive Filtering Framework},
volume = {4},
year = {2010}
}
@article{Diederichs2010,
author = {Diederichs, Elmar and Juditsky, Anatoli and Spokoiny, Vladimir and Sch\"{u}tte, Christof},
journal = {IEEE Transactions on Information Theory},
month = jul,
number = {6},
pages = {3033--3047},
title = {Sparse Non-Gaussian Component Analysis},
volume = {56},
year = {2010}
}
@article{Mishali2010,
author = {Mishali, Moshe and Member, Student and Eldar, Yonina C and Member, Senior},
journal = {IEEE Journal of Selected Topics in Signal Processing},
number = {2},
pages = {375--391},
title = {From Theory to Practice : Sub-Nyquist Sampling of Sparse Wideband Analog Signals},
volume = {4},
year = {2010}
}
@article{Asif2010a,
author = {Asif, M Salman and Romberg, Justin},
journal = {IEEE Journal of Selected Topics in Signal Processing},
number = {2},
pages = {421--434},
title = {Dynamic Updating for l1 Minimization},
volume = {4},
year = {2010}
}
@article{Gemmeke2010a,
author = {Gemmeke, Jort Florent and Member, Student and Hamme, Hugo Van and Cranen, Bert and Boves, Lou},
journal = {IEEE Journal of Selected Topics in Signal Processing},
number = {2},
pages = {272--287},
title = {Compressive Sensing for Missing Data Imputation in Noise Robust Speech Recognition},
volume = {4},
year = {2010}
}
@article{Cai2010,
author = {Cai, TT and Wang, Lie and Xu, Guangwu},
journal = {IEEE Transactions on Information Theory},
number = {9},
pages = {4388--4394},
title = {New bounds for restricted isometry constants},
volume = {56},
year = {2010}
}
@article{Potter2010,
author = {Potter, Lee C. and Ertin, Emre and Parker, Jason T. and Cetin, M\"{u}jdat},
journal = {Proceedings of the IEEE},
keywords = {moving target indication,penalized least squares,radar ambiguity function,random arrays,sparse reconstruc-,synthetic aperture radar,tion},
month = jun,
number = {6},
pages = {1006--1020},
title = {Sparsity and Compressed Sensing in Radar Imaging},
volume = {98},
year = {2010}
}
@article{Zymnis2010,
author = {Zymnis, Argyrios and Boyd, Stephen and Candes, E.},
journal = {IEEE Signal Processing Letters},
number = {2},
pages = {149--152},
title = {Compressed sensing with quantized measurements},
volume = {17},
year = {2010}
}
@article{Pfander2008,
author = {Pfander, G\"{O}tz E. and Rauhut, Holger and Tanner, Jared},
journal = {IEEE Transactions on Signal Processing},
month = nov,
number = {11},
pages = {5376--5388},
title = {Identification of Matrices Having a Sparse Representation},
volume = {56},
year = {2008}
}
@article{Tropp2010,
author = {Tropp, Joel a. and Wright, Stephen J.},
journal = {Proceedings of the IEEE},
keywords = {compressed sensing,convex optimization,dimension,entries relative to its,ing pursuit,known has few nonzero,match-,solution to a linear,sparse approximation,system while requiring that,the un-},
month = jun,
number = {6},
pages = {948--958},
title = {Computational Methods for Sparse Solution of Linear Inverse Problems},
volume = {98},
year = {2010}
}
@article{Shi2008,
author = {Shi, G. and Lin, J. and Chen, X. and Qi, F. and Liu, D. and Zhang, L.},
journal = {IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS PART 2 EXPRESS BRIEFS},
number = {4},
pages = {379},
publisher = {IEEE},
title = {UWB Echo Signal Detection With Ultra-Low Rate Sampling Based on Compressed Sensing},
volume = {55},
year = {2008}
}
@article{Lu2008,
author = {Lu, Y.M. and Do, M.N.},
journal = {IEEE Transactions on Signal Processing},
number = {6},
pages = {2334--2345},
publisher = {Citeseer},
title = {A theory for sampling signals from a union of subspaces},
volume = {56},
year = {2008}
}
@article{Eldar2010,
author = {Eldar, Yonina C and Pohl, Volker},
journal = {IEEE Transactions on Signal Processing},
number = {5},
pages = {2636--2646},
title = {Recovering Signals From Lowpass Data},
volume = {58},
year = {2010}
}
@article{Wipf2010,
author = {Wipf, David and Nagarajan, Srikantan},
journal = {IEEE Journal of Selected Topics in Signal Processing},
number = {2},
pages = {317--329},
title = {Iterative Reweighted l1 and l2 Methods for Finding Sparse Solutions},
volume = {4},
year = {2010}
}
@article{Kashin2007,
author = {Kashin, B. S. and Temlyakov, V. N.},
journal = {Mathematical Notes},
keywords = {combinatorial optimization problem,compressed sensing,gelfand width,kolmogorov width,restricted isometry property,signal processing,sity,spar-},
number = {5-6},
pages = {748--755},
title = {A remark on Compressed Sensing},
volume = {82},
year = {2007}
}
@article{Blumensath2008,
author = {Blumensath, Thomas and Davies, Mike E.},
journal = {IEEE Transactions on Signal Processing},
month = jun,
number = {6},
pages = {2370--2382},
title = {Gradient Pursuits},
volume = {56},
year = {2008}
}
@article{Aditya2009,
author = {Aditya, S.T. and Dabeer, Onkar and Dey, Bikash Kumar},
journal = {2009 IEEE International Symposium on Information Theory},
month = jun,
pages = {319--323},
publisher = {Ieee},
title = {A channel coding perspective of recommendation systems},
year = {2009}
}
@article{Vaswani2008a,
author = {Vaswani, Namrata},
journal = {2008 15th IEEE International Conference on Image Processing},
month = oct,
pages = {893--896},
publisher = {Ieee},
title = {Kalman filtered Compressed Sensing},
year = {2008}
}
@article{Elad2010,
author = {Elad, Michael and Figueiredo, M\'{a}rio a. T. and Ma, Yi},
journal = {Proceedings of the IEEE},
month = jun,
number = {6},
pages = {972--982},
title = {On the Role of Sparse and Redundant Representations in Image Processing},
volume = {98},
year = {2010}
}
@article{Stojnic2010,
author = {Stojnic, Mihailo},
journal = {IEEE Journal of Selected Topics in Signal Processing},
number = {2},
pages = {350--357},
title = {Sensing and Its Strong Thresholds},
volume = {4},
year = {2010}
}
@article{Starck2010,
author = {Starck, J.L. and Bobin, J.},
journal = {Proceedings of the IEEE},
keywords = {astronomical data analysis,compressed sensing,curvelet,restoration,wavelet},
number = {6},
pages = {1021--1030},
title = {Astronomical Data Analysis and Sparsity: from Wavelets to Compressed Sensing},
volume = {98},
year = {2010}
}
@article{Needell2010,
author = {Needell, Deanna and Vershynin, Roman},
journal = {IEEE Journal of Selected Topics in Signal Processing},
number = {2},
pages = {310--316},
title = {Signal Recovery From Incomplete and Inaccurate Measurements Via Regularized Orthogonal Matching Pursuit},
volume = {4},
year = {2010}
}
@article{Bruckstein2009a,
author = {Bruckstein, Alfred M. and Donoho, David L. and Elad, Michael},
journal = {SIAM Review},
keywords = {15a06,15a29,68u10,90c25,94a08,ams subject classi cations,basis pursuit,compression,denoising,dictionary learning,inverse problems,linear system of equations,matching pursuit,mutual coherence,overcomplete,redundant,sparse coding,sparse represen-,sparse-land,tation,underdetermined},
number = {1},
pages = {34},
publisher = {Citeseer},
title = {From Sparse Solutions of Systems of Equations to Sparse Modeling of Signals and Images},
volume = {51},
year = {2009}
}
@article{Hays2008,
author = {Hays, James and Efros, Alexei a.},
journal = {2008 IEEE Conference on Computer Vision and Pattern Recognition},
month = jun,
pages = {1--8},
publisher = {Ieee},
title = {IM2GPS: estimating geographic information from a single image},
year = {2008}
}
@article{Donoho2010b,
author = {Donoho, David L. and Tanner, Jared},
journal = {IEEE Transactions on Information Theory},
month = apr,
number = {4},
pages = {2002--2016},
title = {Exponential Bounds Implying Construction of Compressed Sensing Matrices, Error-Correcting Codes, and Neighborly Polytopes by Random Sampling},
volume = {56},
year = {2010}
}
@article{Donoho2010,
author = {Donoho, David L. and Tanner, Jared},
journal = {Proceedings of the IEEE},
keywords = {1 -minimization,bandlimited measurements,compressed sensing,random measurements,random polytopes,superresolution,undersampling,universality of matrix ensembles},
month = jun,
number = {6},
pages = {913--924},
title = {Precise Undersampling Theorems},
volume = {98},
year = {2010}
}
@article{Cohen2008a,
author = {Cohen, Albert and DeVore, Ronald A. and Elad, Michael and Gilbert, Anna},
journal = {Journal of Fourier Analysis and Applications},
number = {5-6},
pages = {607--608},
title = {Sparsity Issue},
volume = {14},
year = {2008}
}
@article{Yang2010b,
author = {Yang, Junfeng and Zhang, Yin and Yin, Wotao},
journal = {IEEE Journal of Selected Topics in Signal Processing},
number = {2},
pages = {288--297},
title = {A Fast Alternating Direction Method for TVL1-L2},
volume = {4},
year = {2010}
}
@article{Blumensath2009,
author = {Blumensath, Thomas and Davies, Mike E.},
journal = {IEEE Transactions on Signal Processing},
month = nov,
number = {11},
pages = {4333--4346},
title = {Stagewise Weak Gradient Pursuits},
volume = {57},
year = {2009}
}
@article{Yu2010,
author = {Yu, Lei and Barbot, Jean Pierre and Zheng, Gang and Sun, Hong},
journal = {IEEE Signal Processing Letters},
month = aug,
number = {8},
pages = {731--734},
title = {Compressive Sensing With Chaotic Sequence},
volume = {17},
year = {2010}
}
@article{Achlioptas2003,
author = {Achlioptas, D},
journal = {Journal of Computer and System Sciences},
number = {4},
pages = {671--687},
title = {Database-friendly random projections: Johnson-Lindenstrauss with binary coins},
volume = {66},
year = {2003}
}
@article{Babaie-Zadeh2010,
author = {Babaie-Zadeh, Massoud and Jutten, Christian},
journal = {IEEE Transactions on Signal Processing},
number = {10},
pages = {5391--5396},
title = {On the Stable Recovery of the Sparsest Overcomplete Representations in Presence of Noise I},
volume = {58},
year = {2010}
}
@article{Ji2009,
author = {Ji, Shihao and Dunson, David and Carin, Lawrence},
journal = {IEEE Transactions on Signal Processing},
month = jan,
number = {1},
pages = {92--106},
title = {Multitask Compressive Sensing},
volume = {57},
year = {2009}
}
@article{Marcia2008,
author = {Marcia, R.F. and Willett, R.M.},
journal = {Int. Conf. on Acoustics, Speech and Sig. Proc., ICASSP},
pages = {833--836},
title = {Compressive coded aperture superresolution image reconstruction},
year = {2008}
}
@article{Donoho2010a,
author = {Donoho, David},
journal = {Proceedings of the IEEE},
month = jun,
number = {6},
pages = {910--912},
title = {Scanning the Technology},
volume = {98},
year = {2010}
}
@article{Mishali2008,
author = {Mishali, Moshe and Eldar, Yonina C.},
journal = {IEEE Transactions on Signal Processing},
month = oct,
number = {10},
pages = {4692--4702},
title = {Reduce and Boost: Recovering Arbitrary Sets of Jointly Sparse Vectors},
volume = {56},
year = {2008}
}
@article{Baraniuk2007a,
author = {Baraniuk, Richard G.},
journal = {IEEE Signal Processing Magazine},
number = {4},
pages = {118},
publisher = {INSTITUTE OF ELECTRICAL AND ELECTRONIC ENGINEERS},
title = {Compressive sensing},
volume = {24},
year = {2007}
}
@article{Flandrin2010,
author = {Flandrin, Patrick and Borgnat, Pierre},
journal = {IEEE Transactions on Signal Processing},
number = {6},
pages = {2974--2982},
title = {Time-Frequency Energy Distributions Meet Compressed Sensing},
volume = {58},
year = {2010}
}
@article{Baraniuk2007,
author = {Baraniuk, Richard G. and Wakin, Michael B.},
journal = {Foundations of Computational Mathematics},
number = {1},
pages = {51--77},
title = {Random Projections of Smooth Manifolds},
volume = {9},
year = {2007}
}
@article{Baraniuk2008,
author = {Baraniuk, Richard G. and DeVore, Ronald A. and Davenport, Mark and Wakin, Michael},
journal = {Constructive Approximation},
keywords = {compressed sensing,concentration,random matrices,sampling},
number = {3},
pages = {253--263},
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author = {Robinson, M Dirk and Toth, Cynthia a and Lo, Joseph Y and Farsiu, Sina},
journal = {IEEE transactions on image processing : a publication of the IEEE Signal Processing Society},
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journal = {Proceedings of the IEEE},
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[12]
@article{sabah_abdulazeez2023,
	title = {Hiding {Information} in {Digital} {Images} {Using} {LSB} {Steganography} {Technique}},
	volume = {17},
	copyright = {https://creativecommons.org/licenses/by/4.0},
	issn = {1865-7923},
	url = {https://online-journals.org/index.php/i-jim/article/view/38737},
	doi = {10.3991/ijim.v17i07.38737},
	abstract = {The highest way to protect data from intruder and unauthorized persons has become a major issue. This matter led to the development of many techniques for data security, such as Steganography, Cryptography, and Watermarking to disguise data. This paper proposes an image steganography method using the Least Significant Bits (LSB) technique and XOR operator and a secret key, through which the secret key is transformed into a one-dimensional bit stream array, then these bits are XORed with the bits of the secret image. Multiple experiments have been performed to embed color and grayscale images inside cover media. In this work, the LSB technique is ideal in two ways: firstly, only the least significant one-bit (1bit) of each byte will store the embedded data, this method is named (1-LSB). Secondly, the four least significant bits of the right half-byte (4 bits) of each byte will store the embedded data, this method is named (4-LSB). Subjective and objective analyzes were performed for each LSB process. The subjective analysis is responsible for both HVS and histogram, whereas the objective analysis involved both PSNR and MSE metrics.},
	number = {07},
	urldate = {2025-07-08},
	journal = {International Journal of Interactive Mobile Technologies (iJIM)},
	author = {{Sabah Abdulazeez Jebur} and {Abbas Khalifa Nawar} and {Lubna Emad Kadhim} and {Mothefer Majeed Jahefer}},
	month = apr,
	year = {2023},
	pages = {167--178},
}