Compressive Sensing Resources - Most Recent Postings

References are listed in the order in which they are added/updated (most recent at the top).

Mark A. Davenport and Michael B. Wakin, Compressive Sensing of Analog Signals Using Discrete Prolate Spheroidal Sequences. (Preprint, September 2011)
M. A. Davenport, J. N. Laska, J. Treichler, and R. G. Baraniuk. The Pros and Cons of Compressive Sensing for Wideband Signal Acquisition: Noise Folding vs. Dynamic Range. Submitted. 2011.
L. Jacques, J. N. Laska, P. T. Boufounos, and R. G. Baraniuk. Robust 1-Bit Compressive Sensing via Binary Stable Embeddings of Sparse Vectors. Submitted. 2011.
Mark Davenport, Marco Duarte, Yonina C. Eldar, and Gitta Kutyniok, Introduction to Compressed Sensing, (Chapter in Compressed Sensing: Theory and Applications, Cambridge University Press, 2011.)
Jason Laska, Petros Boufounos, Mark Davenport, and Richard Baraniuk, Democracy in Action: Quantization, Saturation, and Compressive Sensing. (Preprint. Submitted September 2010)
Jason N. Laska, Zaiwen Wen, Wotao Yin, and Richard G. Baraniuk, Trust, but Verify: Fast and Accurate Signal Recovery from 1-bit Compressive Measurements. (Preprint. Submitted Sept. 2010)
A. Fannjiang, The MUSIC algorithm for sparse objects: an compressed sensing analysis. (Preprint, 2010) [arXiv: 1006.1678]
Xiaobo Qu, Weiru Zhang, Di Guo, Congbo Cai, Shuhui Cai, Zhong Chen, Iterative thresholding compressed sensing MRI based on contourlet transform. (Inverse Problems in Science and Engineering, to appear, May 2010)
Hong Jung, Jong Chul Ye, Motion Estimated and Compensated Compressed sensing dynamic MRI: what we can learn from video compression techniques. (Inter. Jour. Imaging Systems and Technology, 20, pp.81-98, May, 2010)
Mohammadreza Mahmudimanesh, Abdelmajid Khelil and Neeraj Suri, Reordering for Better Compressibility: Efficient Spatial Sampling in Wireless Sensor Networks. (The Third IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing (SUTC), 2010.)
Mohammadreza Mahmudimanesh, Abdelmajid Khelil, Nasser Yazdani, Map-Based Compressive Sensing Model for Wireless Sensor Network Architecture, A Starting Point. (First International Workshop on Wireless Sensor Networks Architectures, Simulation and Programming (WASP), pp. 75-84, 2009)
Arun Pachai Kannu and Philip Schniter, On Communication over Unknown Sparse Frequency-Selective Block-Fading Channels. (submitted to IEEE Trans. on Information Theory, June 2010)
Riccardo Masiero, Giorgio Quer, Daniele Munaretto, Michele Rossi, Joerg Widmer, Michele Zorzi, Data Acquisition through joint Compressive Sensing and Principal Component Analysis. (IEEE Globecom, Nov.-Dec. 2009)
Abdorreza Heidari, D. Saeedkia, A 2D Camera Design with a Single-pixel Detector. (Int. Conf. on Infrared, Millimeter and Terahertz Waves, Busan, South Korea, September 2009)
Joachim H.G. Ender, On compressive sensing applied to radar. (Signal Processing, 90(5), pp. 1402-1414, May 2010)
Benjamin Miller, Joel Goodman, Keith Forsythe, John Sun, Vivek Goyal, A multi-sensor compressed sensing receiver: Performance bounds and simulated results. (Forty-Third Asilomar Conference on Signals and Systems, pp. 1571-1575, Nov. 2009)
Xie Xiao-Chun and Zhang Yun-Hua, High-resolution imaging of moving train by ground-based radar with compressive sensing. (Electron Lett, 2010, 46, (7), pp. 529-531, April 2010)
Waheed U. Bajwa, Robert Calderbank, Sina Jafarpour, Why Gabor Frames? Two Fundamental Measures of Coherence and Their Role in Model Selection. (Submitted for Publication)
Laurent Jacques, A Short Note on Compressed Sensing with Partially Known Signal Support. (Signal Processing, (in press), doi:10.1016/j.sigpro.2010.05.025) [http://arxiv.org/abs/0908.0660]
Eugene Livshitz, On efficiency of Orthogonal Matching Pursuit . (Preprint, 2010)
Qiyu Sun, Recovery of sparsest signals via $\ell^q$-minimization. (Preprint, 2010)
Volkan Cevher, Learning with Compressible Priors. (NIPS 2009)
Sadegh Jokara, Volker Mehrmann, Sparse solutions to underdetermined Kronecker product systems. (Linear Algebra and its Applications, 431(12), pp. 2437-2447, December 2009)
Sadegh Jokar, Volker Mehrmann, Marc Pfetsch, Harry Yserentant , Sparse Approximate Solution of Partial Differential Equations. (Applied Numerical Mathematics 60, No. 4, pp. 452-472, 2010)
Charles Dossal, Gabriel PeyrÃ©, Jalal Fadili, A Numerical Exploration of Compressed Sampling Recovery. (Linear Algebra and its Applications, Vol. 432(7), p.1663-1679, 2010)
Behtash Babadi, Nicholas Kalouptsidis, Vahid Tarokh, SPARLS: The Sparse RLS Algorithm. (To appear in IEEE Trans. on Signal Processing, 2010)
Sinan Gunturk, Alex Powell, Rayan Saab, Ozgur Yilmaz, Sobolev duals for random frames and sigma-delta quantization of compressed sensing measurements. (Preprint, 2010)
Atul Divekar, Okan Ersoy, Probabilistic Matching Pursuit for Compressive sensing. (Purdue ECE Technical Report TR-ECE-10-03, 2010)
Waheed U. Bajwa, Robert Calderbank, and Sina Jafarpour, Model selection: Two fundamental measures of coherence and their algorithmic significance (Proc. IEEE Int. Symp. Information Theory, June 2010)
Waheed U. Bajwa, Jarvis Haupt, Akbar M. Sayeed, and Robert Nowak, Compressed Channel Sensing: A New Approach to Estimating Sparse Multipath Channels (Proc. IEEE, June 2010)
Robert Calderbank and Sina Jafarpour, Reed Muller Sensing Matrices and the Lasso (Preprint, April 2010)
Chinmay Hegde and Richard G. Baraniuk, Sampling and Recovery of Pulse Streams. (Preprint, 2010)
Eugene Livshitz, On the optimality of Orthogonal Greedy Algorithm for M-coherent dictionaries. (Preprint, March 2010)
Graeme E. Smith, Tom Diethe, Zakria Hussain, John Shawe-Taylor, David R. Hardoon, Compressive Sampling for Pulse Doppler Radar. (In Proceedings of the IEEE International Radar Conference, 2010)
S. Mun, J. E. Fowler, Block Compressed Sensing of Images Using Directional Transforms. (Proceedings of Int. Conf. on Image Processing, November 2009)
R. Tur, Y. C. Eldar, Z. Friedman Low Rate Sampling of Pulse Streams with Application to Ultrasound Imaging. (Submitted to IEEE Transactions on Signal Processing, Mar. 2010)
Bubacarr Bah, Jared Tanner, Improved bounds on restricted isometry constants for Gaussian matrices. (Preprint, March 2010)
Gerasimos Mileounis, Behtash Babadi, Nicholas Kalouptsidis, Vahid Tarokh, An adaptive greedy algorithm with application to nonlinear communications. (To appear in the IEEE Trans. on Signal Processing, 2010)
Y. N. Lilis, D. Angelosante, G. B. Giannakis, Sound Field Reproduction using the Lasso. (Accepted to IEEE Trans. on Audio, Speech and Language Processing, 2010)
D. Angelosante, J.-A. Bazerque, G. B. Giannakis, Online Adaptive Estimation of Sparse Signals: where RLS meets the L1-norm. (Accepted to IEEE Trans. on Sign. Proc., 2010)
K. Qiu, A. Dogandžić, Double overrelaxation thresholding methods for sparse signal reconstruction. (Proc. 44th Annu. Conf. Inform. Sci. Syst., Princeton, NJ, Mar. 2010)
A. Bourquard, F. Aguet, M. Unser, Optical Imaging with Binary Sensors. (In press, OSA journal Optics Express, 2010)
A. Shabani, R. L. Kosut, H. Rabitz, Compressed Quantum Process Tomography. (Preprint, 2009)
A. Shabani, M. Mohseni, S. Lloyd, R. L. Kosut, H. Rabitz, Efficient estimation of many-body quantum Hamiltonians via random measurements. (Preprint, 2010)
Pradeep Sen, Soheil Darabi, Compressive Rendering: A Rendering Application of Compressed Sensing. (Accepted, IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, 2010)
Gholami A., H.R. Siahkoohi, Regularization of linear and non-linear geophysical ill-posed problems with joint sparsity constraints. (Geophys. J. Int., Vol. 180, 2, 871-882)
G. Mileounis, B. Babadi, N. Kalouptsidis, V. Tarokh, An Adaptive Greedy Algorithm with Application to Sparse NARMA Identification. (IEEE ICASSP 2010)
Gongguo Tang, Arye Nehorai, Performance analysis for sparse support recovery. (Preprint, Nov 2009)
Chinmay Hegde and Richard G. Baraniuk, Compressive Sensing of a Superposition of Pulses. (IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP), Dallas, Texas, March 2010)
Wei Lu, Namrata Vaswani, Modified Basis Pursuit Denoising (Modified-BPDN) For Noisy Compressive Sensing With Partially Known Support. (IEEE ICASSP 2010)
Wei Lu, Namrata Vaswani, Regularized Modified-BPDN for compressive sensing with partially known support. (Preprint, Feb 2010)
Namrata Vaswani, LS-CS-residual (LS-CS): Compressive Sensing on the Least Squares Residual. (Accepted to IEEE Trans. Signal Processing)
Namrata Vaswani, Wei Lu, Modified-CS: Modifying Compressive Sensing for Problems with Partially Known Support. (Revised and resubmitted to IEEE Trans. Signal Processing)
Vladimir N. Temlyakov and Pavel Zheltov, On performance of greedy algorithms. (Submitted to Journal of Approximation Theory, Jan 2010)
Entao Liu, V.N. Temlyakov Orthogonal Super Greedy Algorithm and Applications in Compressed Sensing. (Preprint, Jan 2010)
Marco F. Duarte, Richard G. Baraniuk, Spectral Compressive Sensing. (Preprint, 2010)
J. Meng, W. Yin, H. Li, E. Houssain, Z. Han, Collaborative spectrum sensing from sparse observations using matrix completion for cognitive radio networks. (To appear in ICASSP 2010)
W. Yin, S. P. Morgan, J. Yang, Y. Zhang, Practical compressive sensing with Toeplitz and circulant matrices. (Rice University CAAM Technical Report TR10-01, Submitted to VCIP 2010) [additional info]
W. Guo, W. Yin, EdgeCS: an edge guided compressive sensing reconstruction. (Rice University CAAM Technical Report TR10-02)
D. Gross, Y.-K. Liu, S.T. Flammia, S. Becker, J. Eisert, Quantum state tomography via compressed sensing. (Preprint, 2010)
David J. Brady, Kerkil Choi, Daniel L. Marks, Ryoichi Horisaki, Sehoon Lim, Compressive Holography. (Opt. Express 17, 13040-13049, 2009)
Loïc Denis, Dirk Lorenz, Eric Thiébaut, Corinne Fournier, Dennis Trede, Inline hologram reconstruction with sparsity constraints. (Opt.Lett. 34, 3475-3477, 2009)
Petros T. Boufounos, Gitta Kutyniok and Holger Rauhut, Sparse Recovery from Combined Fusion Frame Measurements. (Preprint, December 2009)
Mojdeh Mohtashemi, Haley Smith, Felicia Sutton, David Walburger, James Diggans, Sparse Sensing DNA Microarray-Based Biosensor: Is It Feasible?. (2010 IEEE Sensors and Applications)
Mostafa Naghizadeh, Mauricio Sacchi, Beyond alias hierarchical scale curvelet interpolation of regularly and irregularly sampled seismic data. (Submitted to Geophysics, December 2009)
D. Guo, D. Baron, S. Shamai, A Single-letter Characterization of Optimal Noisy Compressed Sensing. (Asilomar Conf. on Signals, Systems, and Computers, Monterey, California, November 2009)
J. Meng, J. Ahmadi-Shokouh, H. Li, E. J. Charlson, Z. Han, S. Noghanian, E. Hossain, Sampling Rate Reduction for 60 GHz UWB Communication using Compressive Sensing. (Asilomar Conf. on Signals, Systems, and Computers, Monterey, California, November 2009)
Odalric Maillard, Remi Munos, Compressed Least Squares Regression. (Neural Information Processing Systems (NIPS), Vancouver, Canada, December 2009)
G. Reeves, M. Gastpar, A Note on Optimal Support Recovery in Compressed Sensing. (Asilomar Conf. on Signals, Systems, and Computers, Monterey, CA, November 2009)
M. Mishali, Y. C. Eldar, O. Dounaevsky and E. Shoshan, Xampling: Analog to Digital at Sub-Nyquist Rates (CCIT Report #751 Dec-09, EE Pub No. 1708, EE Dept., Technion, Dec. 2009)
Marco F. Duarte, Richard G. Baraniuk, Kronecker Compressive Sensing. (Preprint, December 2009)
T. Tony Cai, Le Wang, Guangwu Xu, New Bounds for Restricted Isometry Constants. (Preprint, November 2009)
Thomas Blumensath, Sampling and reconstructing signals from a union of linear subspaces. (Preprint, November 2009)
Riccardo Masiero, Giorgio Quer, Michele Rossi, Michele Zorzi, A Bayesian Analysis of Compressive Sensing Data Recovery in Wireless Sensor Networks. (The International Workshop on Scalable Ad Hoc and Sensor Networks (SASN'09), Saint Petersburg, Russia, Oct. 2009)
Ming Gu, Lek-Heng Lim, Cinna Julie Wu, PARNES: A Rapidly Convergent Algorithm for Accurate Recovery of Sparse and Approximately Sparse Signals. (Preprint, November 2009)
Wei Lu, Namrata Vaswani, Modified Compressive Sensing for Real-time Dynamic MR Imaging. (IEEE International Conference on Image Processing 2009)
Mark Davenport, Petros Boufounos, Michael Wakin, and Richard Baraniuk, Signal Processing with Compressive Measurements. (IEEE J. of Selected Topics in Signal Processing, 4(2), pp. 445-460, April 2010)
Moshe Mishali, Yonina C. Eldar, Expected RIP: Conditioning of The Modulated Wideband Converter (ITW, October 2009)
Moshe Mishali, Yonina C. Eldar, A. Elron, Xampling -- Part I: Practice (CCIT Report #747 Oct-09, EE Pub No. 1704, Technion EE Dept., Oct. 2009)
Mark Davenport, Jason Laska, Petros Boufounos, and Richard Baraniuk, A simple proof that random matrices are democratic. (Rice University ECE Department Technical Report TREE-0906, November 2009)
Jason Laska, Mark Davenport, and Richard Baraniuk, Exact signal recovery from sparsely corrupted measurements through the pursuit of justice. (Asilomar Conf. on Signals, Systems, and Computers, Pacific Grove, California, November 2009)
Zachary Harmany, Roummel Marcia, Rebecca Willett, Sparse Poisson Intensity Reconstruction Algorithms. (Proc. IEEE Workshop on Statistical Signal Processing, 2009)
Alexandros G. Dimakis, Pascal O. Vontobel, LP Decoding meets LP Decoding: A Connection between Channel Coding and Compressed Sensing. (Allerton 2009)
N. Kalouptsidis, G. Mileounis, B. Babadi, V. Tarokh, Adaptive Algorithms for Sparse Nonlinear Channel Estimation. (Proc. IEEE Workshop on Statistical Signal Processing (SSP'09), Sept. 2009,Cardiff, Wales, UK)
Jafarpour B., Goyal V.K., Freeman W.T, McLaughlin D.B., Compressed History Matching: Exploiting Transform-Domain Sparsity for Regularization of Nonlinear Dynamic Data Integration Problems. (Mathematical Geosciences. Geophysics, 74, R69)
Jafarpour B., Goyal V.K., Freeman W.T, McLaughlin D.B., Transform-domain Sparsity Regularization for Inverse Problems in Geosciences. (Geophysics, 74, R69, 2009)
Tomas Tuma, Sean Rooney, Paul Hurley, On the Applicability of Compressive Sampling in Fine Grained Processor Performance Monitoring. (14th IEEE International Conference on Engineering of Complex Computer Systems, 2009)
Tomas Tuma, Paul Hurley, On the incoherence of noiselet and Haar bases. (SAMPTA 2009)
Noam Shental, Amnon Amir, Or Zuk, Rare-Allele Detection Using Compressed Se(que)nsing. (Preprint, September 2009)
M. Salman Asif, William Mantzel and Justin Romberg, Channel Protection: Random Coding Meets Sparse Channels. (Information Theory Workshop, October 2009.)
M. Salman Asif, William Mantzel and Justin Romberg, Random Channel Coding and Blind Deconvolution. (Allerton Conference on Communication, Control, and Computing, October 2009.)
Chinmay Hegde and Richard G. Baraniuk, Compressive Sensing of Streams of Pulses. (Allerton Conference on Communication, Control, and Computing, October 2009.)
Marco F. Duarte, Volkan Cevher and Richard G. Baraniuk, Model-Based Compressive Sensing for Signal Ensembles. (Allerton Conference on Communication, Control, and Computing, October 2009.)
Mark Davenport, Chinmay Hegde, Marco Duarte, and Richard Baraniuk, Joint manifolds for data fusion. (Preprint, 2009)
Sundeep Rangan, Alyson K. Fletcher, and Vivek K Goyal, Asymptotic Analysis of MAP Estimation via the Replica Method and Applications to Compressed Sensing. (Submitted to IEEE Trans. Information Theory)
Yilun Wang and Wotao Yin, Compressed Sensing via Iterative Support Detection. (Rice CAAM TR09-30, September 2009)
Nicolas Dobigeon, Alfred O. Hero, Jean-Yves Tourneret, Hierarchical Bayesian sparse image reconstruction with application to MRFM. (IEEE Trans. Image Processing, vol. 18, no. 9, pp. 2059-2070, Sept. 2009)
Nicolas Dobigeon, Jean-Yves Tourneret, Bayesian orthogonal component analysis for sparse representation. (Preprint, August 2009)
Albert Fannjiang, Compressive inverse scattering II. SISO measurements with Born scatterers. (Preprint, August 2009)
John Treichler, Mark Davenport, and Richard Baraniuk, Application of compressive sensing to the design of wideband signal acquisition receivers. (6th U.S. / Australia Joint Workshop on Defense Applications of Signal Processing (DASP), Lihue, Hawaii, September 2009)
Mark Davenport and Michael Wakin, Analysis of Orthogonal Matching Pursuit using the Restricted Isometry Property. (Preprint, August 2009)
Jeffrey D. Blanchard, Coralia Cartis, Jared Tanner, Andrew Thompson, Phase Transitions for Greedy Sparse Approximation Algorithms. (Preprint, August 2009)
Jeffrey D. Blanchard, Andrew Thompson, On Support Sizes of Restricted Isometry Constants. (Preprint, August 2009)
J. Provost, F. Lesage, The application of compressed sensing for photo-acoustic tomography. (IEEE Trans Med Imaging, 28(4):585-94, April 2009)
H. Jung, J. S. Park, J. H. Yoo, J. C. Ye, Radial k-t FOCUSS for High-Resolution Cardiac Cine Magnetic Resonance Imaging. (In press, Magn. Reson. Med., 2009)
J. Y. Choi, M. W. Kim, W. Seong, J. C. Ye, Compressed sensing metal artifact removal in dental CT. (Proc. IEEE International Symposium on Biomedical Imaging (ISBI), pp. 334-337, June 28–July 1, 2009, Boston, USA)
H. Jung, J. C. Ye, Performance evalution of accelerated functional MRI acquisition using compressed sensing. (Proc. IEEE International Symposium on Biomedical Imaging (ISBI), pp. 702-705, June 28-July 1, 2009, Boston, USA)
Rick Chartrand, Fast algorithms for nonconvex compressive sensing: MRI reconstruction from very few data. (IEEE International Symposium on Biomedical Imaging (ISBI), June 2009)
Atul Divekar, Okan Ersoy, Compact Storage of Correlated Data for Content Based Retrieval. (accepted to the 43rd Asilomar Conference on Signals,Systems and Computers)
H. Zayyani, M. Babaie-Zadeh, C. Jutten, Compressed Sensing Block MAP-LMS Adaptive Filter for Sparse Channel Estimation and a Bayesian Cramer-Rao Bound. (MLSP 2009)
Yujie Lu, Xiaoqun Zhang, Ali Douraghy, David Stout, Jie Tian, Tony F. Chan, Arion F. Chatziioannou, Source Reconstruction for Spectrally-resolved Bioluminescence Tomography with Sparse a priori Information. (Optics Express 17, 8062-8080, 2009)
G. Gasso, A. Rakotomamonjy, S. Canu, Recovering sparse signals with non-convex penalties and DC programming. (IEEE Trans. Signal Processing, to appear, 2009)
Jason Laska, Petros Boufounos, Mark Davenport, and Richard Baraniuk, Democracy in Action: Quantization, Saturation, and Compressive Sensing. (Preprint. Submitted July 2009)
Jason Laska, Petros Boufounos, and Richard Baraniuk, Finite range scalar quantization for compressive sensing. (International Conference on Sampling Theory and Applications (SampTA), May 2009)
Joshua Trzasko, Clifton Haider, Armando Manduca, Practical Nonconvex Compressive Sensing Reconstruction of Highly-Accelerated 3D Paralllel MR Angiograms. (Proc. of the IEEE International Symposium on Biomedical Imaging, p.1349, June 2009)
Joshua Trzasko, Armando Manduca, Relaxed Conditions for Sparse Signal Recovery with General Concave Priors. (Submitted to IEEE Trans. Signal Processing, July 2009)
Yasamin Mostofi, Pradeep Sen, Compressive Cooperative Sensing and Mapping in Mobile Networks. (Proceedings of American Control Conference (ACC), Page(s):3397 - 3404, June 2009)
Albert C. Fannjiang, Compressive Imaging of Subwavelength Structures. (Preprint, July, 2009)
Gerlind Plonka, Jianwei Ma, Curvelet-Wavelet Regularized Split Bregman Iteration for Compressed Sensing. (Preprint, 2009)
Felix J. Herrmann, Yogi A. Erlangga, Tim T. Y. Lin, Compressive simultaneous full-waveform simulation. (Submitted to Geophysics 74, A35, 2009)
Felix J. Herrmann, Compressive imaging by wavefield inversion with group sparsity. (SEG 2009, Houston, TX, Technical Report TR-2009-01)
Felix J. Herrmann, Yogi A. Erlangga, Tim T. Y. Lin, Compressive-wavefield simulations. (SAMPTA 2009, Marseille, France)
Felix J. Herrmann, Sub-Nyquist sampling and sparsity: getting more information from fewer samples. (SEG 2009, Houston, TX)
Gang Tang, Reza Shahidi, Felix J. Herrmann, Jianwei Ma, Higher dimensional blue-noise sampling schemes for curvelet-based seismic data recovery. (SEG 2009, Houston, TX)
Tim T.Y. Lin, Felix J. Herrmann, Unified compressive sensing framework for simultaneous acquisition with primary estimation. (SEG 2009, Houston, TX, Technical Report TR-2009-02)
Y.C. Eldar, P. Kuppinger, H. Bolcskei, Compressed Sensing of Block-Sparse Signals: Uncertainty Relations and Efficient Recovery. (Submitted to IEEE Transactions on Signal Processing, June 2009)
Albert C. Fannjiang, Compressive Inverse Scattering I. High Frequency SIMO Measurements. (Preprint, July, 2009)
C.R. Berger, S. Zhou, J. Preisig, Peter Willett, Sparse Channel Estimation for Mutlicarrier Underwater Acoustic Communications: From Subspace Methods to Compressed Sensing. (MTS/IEEE Oceans, Bremen, Germany, May 2009)
C.R. Berger, S. Zhou, W. Chen, Peter Willett, Sparse Channel Estimation for OFDM: Over-Complete Dictionaries and Super-Resolution Methods. (IEEE Intl. Workshop on Signal Process. Advances in Wireless Comm., Perugia, Italy, June 2009)
C.R. Berger, S. Zhou, P. Willett, Signal Extraction Using Compressed Sensing for Passive Radar with OFDM Signals. (Proc. of the 11th Int. Conf. on Information Fusion, Cologne, Germany, July 2008)
C.R. Berger, S. Zhou, P. Willett, B. Demissie, J. Heckenbach, Compressed Sensing for OFDM/MIMO Radar. (Proc. of the 42nd Annual Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA, Oct. 2008)
Sibi Raj Bhaskaran, Linda Davis, Alex Grant, Stephen Hanly, Paul Tune, Downlink Scheduling Using Compressed Sensing. (Information Theory Workshop (ITW) 2009, Volos, Greece)
T Bu, J Cao, A Chen, PPC Lee, A fast and compact method for unveiling significant patterns in high speed networks. (Proc. of IEEE INFOCOM, 2006)
Z. Ben-Haim, Y. C. Eldar, The Cramér–Rao bound for sparse estimation. (Submitted to IEEE Trans. Signal Processing, May 2009)
Yoon-Chul Kim, Shrikanth S. Narayanan, Krishna S. Nayak, Accelerated Three-Dimensional Upper Airway MRI Using Compressed Sensing. (Magnetic Resonance in Medicine, 61:1434–1440, 2009)
Albert Fannjiang, Penchong Yan, Thomas Strohmer, Compressed Remote Sensing of Sparse Objects. (Preprint, 2009)
Kfir Gedalyahu, Yonina C. Eldar, Time Delay Estimation from Low Rate Samples: A Union of Subspaces Approach. (To appear in IEEE Transactions on Signal Processing)
Atul Divekar, Okan Ersoy, Image Fusion by Compressive Sensing. (Geoinformatics 2009, to appear)
Lachlan Blackhall, Michael Rotkowitz, Recursive Sparse Estimation using a Gaussian Sum Filter. (Proceedings of the IFAC World Congress, July 2008)
Paul Tune, Sibi Raj Bhaskaran, Stephen Hanly, Number of Measurements in Sparse Signal Recovery. (ISIT 2009, to appear)
Shoulie Xie, Susanto Rahardja, Zhengguo Li, Wyner-Ziv Image Coding from Random Projections. (IEEE Intl Conf Multimedia & Expo (ICME’07), Beijing, China, 2007)
Jianwei Ma, Improved iterative curvelet thresholding for compressed sensing and measurement. (IEEE Transactions on Instrumentation and Measurement, to appear)
Rahul Garg, Rohit Khandekar, Gradient Descent with Sparsification: An iterative algorithm for sparse recovery with restricted isometry property. (to appear in ICML 2009, Montreal, Canada)
Lu Gan, Cong Ling, Thong T. Do, and Trac D. Tran, Analysis of the Statistical Restricted Isometry Property for Deterministic Sensing Matrices Using Stein’s Method. (Preprint, 2009)
P. Wojtaszczyk, Stability of l1 minimization in compressed sensing. (in Proc. SPARS'09 St. Malo 2009)
D. Angelosante, E. Grossi, G. B. Giannakis, Compressed Sensing of time-varying signals. (DSP 2009, Santorini, Greece)
Magali Anastasio and Carlos Cabrelli, Sampling in a union of frame generated subspaces (Preprint, 2009)
Ewout van den Berg, Michael P. Friedlander, Joint-sparse recovery from multiple measurements. (Preprint, 2009)
P. Zhang, Z. Hu, R. C. Qiu and B. M. Sadler, Compressive Sensing Based Ultra-wideband Communication System. (IEEE ICC'09, Dresden, Germany, Jun. 14-18, 2009)
Hengyong Yu and Ge Wang, Compressed sensing based interior tomography. (Physics in Medicine and Biology, 54 (2009) 2791–2805)
Gilles Gnacadja, Counting the Scaled +1/-1 Matrices that Satisfy the Restricted Isometry Property. (Preprint, 2009)
Jia Meng, Husheng Li, and Zhu Han, Sparse Event Detection in Wireless Sensor Networks using Compressive Sensing. (CISS 2009, Baltimore, MD)
Namrata Vaswani and Wei Lu, Modified-CS: Modifying Compressive Sensing for Problems with Partially Known Support. (IEEE Intl. Symp. Info. Theory (ISIT), 2009)
M. Salman Asif and Justin Romberg, Dynamic Updating for Sparse Time Varying Signals. (CISS 2009, Baltimore, MD)
A. Aldroubi, H. Wanf and K. Zarringhalam, Sequential Adaptive compressed sampling via Huffman codes. (Preprint, 2009)
G. Quer, R. Masiero, D. Munaretto, M. Rossi, J. Widmer and M. Zorzi, On the Interplay Between Routing and Signal Representation for Compressive Sensing in Wireless Sensor Networks. (Information Theory and Applications Workshop (ITA 2009), San Diego, CA)
Yonina C. Eldar, Holger Rauhut, Average Case Analysis of Multichannel Sparse Recovery Using Convex Relaxation. (Preprint, 2009)
J. Haupt, R. Castro, and R. Nowak, Distilled sensing: selective sampling for sparse signal recovery. (to appear in Proc. 12th Conference on Artificial Intelligence and Statistics, Clearwater Beach, FL, April 2009)
M.B. Wakin, A Manifold Lifting Algorithm for Multi-View Compressive Imaging. (Picture Coding Symposium (PCS), Chicago, Illinois, May 2009)
J.Y. Park and M.B. Wakin, A Multiscale Framework for Compressive Sensing of Video. (Picture Coding Symposium (PCS), Chicago, Illinois, May 2009)
W. L. Chan, K. Charan, D. Takhar, K. F. Kelly, R. G. Baraniuk, and D. M. Mittleman, A single-pixel terahertz imaging system based on compressive sensing. (Applied Physics Letters, 93, 121105, 2008)
W. L. Chan, M. Moravec, R. Baraniuk, and D. Mittleman, Terahertz imaging with compressed sensing and phase retrieval. (Optics Letters, 33, pp. 974 - 976, 2008)
Mark A. Davenport, Petros T. Boufounos, and Richard G. Baraniuk, Compressive domain interference cancellation. (Workshop on Signal Processing with Adaptive Sparse Structured Representations (SPARS), Saint-Malo, France, April 2009)
Holger Rauhut, Circulant and Toeplitz matrices in compressed sensing. (In Proc. SPARS'09, Saint Malo, 2009)
S.D. Babacan, R. Molina, and A.K. Katsaggelos, Bayesian Compressive Sensing using Laplace Priors. (IEEE Transactions on Image Processing, Vol. 19, issue 1, 53-64, January 2010)
Behtash Babadi, Nicholas Kalouptsidis, Vahid Tarokh, SPARLS: A Low Complexity Recursive L_1-Regularized Least Squares Algorithm. (Preprint, January 2009)
Roummel Marcia, Zachary Harmany, Rebecca Willett, Compressive Coded Aperture Imaging. (SPIE Electronic Imaging, 2009).
G. Tauböck and F. Hlawatsch, Compressed sensing based estimation of doubly selective channels using a sparsity-optimized basis expansion. (in Proceedings of EUSIPCO 2008, (Lausanne, Switzerland), Aug. 2008)
G. Tauböck, F. Hlawatsch, and H. Rauhut, Compressive estimation of doubly selective channels: exploiting channel sparsity to improve spectral efficiency in multicarrier transmissions. (submitted to IEEE Journal of Selected Topics in Signal Processing (J-STSP), Feb. 2009)
Matthew A. Herman and Thomas Strohmer, General Deviants: An Analysis of Perturbations in Compressed Sensing. (Preprint, 2009)
Mehmet Akçakaya, Jinsoo Park, Vahid Tarokh, Compressive Sensing Using Low Density Frames. (Preprint, 2009)
Behtash Babadi, Nicholas Kalouptsidis, and Vahid Tarokh, Asymptotic Achievability of the Cramér–Rao Bound for Noisy Compressive Sampling. (IEEE Trans. Signal Processing, 57(3), pp. 1233-1236, March 2009)
Alyson K. Fletcher, Sundeep Rangan, and Vivek K Goyal, On-Off Random Access Channels: A Compressed Sensing Framework. (Submitted to IEEE Trans. Information Theory)
Moshe Mishali and Yonina C. Eldar, From Theory to Practice: Sub-Nyquist sampling of Sparse Wideband Analog Signals. (To appear in IEEE Journal of Selected Topics on Signal Processing)
M.Amin Khajehnejad, Alexandros G. Dimakis, Weiyu Xu, Babak Hassibi, Sparse Recovery of Positive Signals with Minimal Expansion . (Preprint, 2009)
A. Dogandžić and K. Qiu, Variance-component based sparse signal reconstruction and model selection. (To appear in IEEE Trans. Signal Processing, vol. 58, 2010)
Mark Iwen, Simple Deterministically Constructible RIP Matrices with Sublinear Fourier Sampling Requirements . (Preprint, CISS 2009, Baltimore, MD)
Mark Iwen, Combinatorial Sublinear-Time Fourier Algorithms (Preprint, 2009)
Pradeep Nagesh and Baoxin Li, Compressive Imaging of Color Images (Preprint: IEEE Intl. Conf. on Acoustic, Speech & Signal Processing (ICASSP), Taipei, Taiwan, 2009).
Chinmay Hegde, Marco F. Duarte and Volkan Cevher, Compressive Sensing Recovery of Spike Trains Using a Structured Sparsity Model. (Workshop on Signal Processing with Adaptive Sparse Structured Representations (SPARS), April 2009.)
Marco F. Duarte, Chinmay Hegde, Volkan Cevher and Richard G. Baraniuk, Recovery of Compressible Signals in Unions of Subspaces. (Conference on Information Sciences and Systems (CISS), March 2009)
L. Jacques, D. K. Hammond, and M. J. Fadili, Dequantizing compressed sensing with non-gaussian constraints (Preprint, 2009)
L. Jacques, D. K. Hammond, and M. J. Fadili, Dequantizing compressed sensing: When oversampling and non-gaussian constraints combine (Technical Report, 2009)
Y. Wiaux, L. Jacques, G. Puy, A. M. M. Scaife, and P. Vandergheynst, Compressed sensing imaging techniques for radio interferometry (To appear, Monthly Notices of the Royal Astronomical Society, 2009)
Yuzhe Jin and Bhaskar D. Rao, Insights into the stable recovery of sparse solutions in overcomplete representations using network information theory (IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP), Las Vegas, Nevada, April 2008)
Yuzhe Jin and Bhaskar D. Rao, Performance limits of matching pursuit algorithms (IEEE Int. Symposium on Information Theory (ISIT), Toronto, Canada, June 2008)
Thomas Blumensath and Mike E. Davies, Normalised iterative hard thresholding; guaranteed stability and performance (Preprint, 2009)
Robert Calderbank, Sina Jafarpour, and Robert Schapire, Compressed learning: Universal sparse dimensionality reduction and learning in the measurement domain (Preprint, 2009)
Wen Tang, Jianwei Ma, and Felix J. Herrmann, Optimized compressed sensing for curvelet-based seismic data reconstruction (Preprint, 2009)
Jianwei Ma, Single-pixel remote sensing (IEEE Geoscience and Remote Sensing Letters, 6(2), pp. 199-203, 2009)
Daniele Angelosante and Georgios B. Giannakis, RLS-weighted lasso for adaptive estimation of sparse signals (IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP), Taipei, Taiwan, April 2009)
Hadi Zayyani, Massoud Babaie-Zadeh, and Christian Jutten, Bayesian pursuit algorithm for sparse representation (IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP), Taipei, Taiwan, April 2009)
Li-Wei Kang and Chun-Shien Lu, Distributed compressive video sensing (IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP), Taipei, Taiwan, April 2009)
Namrata Vaswani, Analyzing least squares and kalman filtered compressed sensing (IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP), Taipei, Taiwan, April 2009)
Chenlu Qiu, Wei Lu and Namrata Vaswani, Real-time Dynamic MR Image Reconstruction using Kalman Filtered Compressed Sensing (IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP), Taipei, Taiwan, April 2009)
Suvrit Sra and Joel Tropp, Row-action methods for compressed sensing (IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP), Toulouse, France, May 2006)
Joel A. Tropp, Jason N. Laska, Marco F. Duarte, Justin K. Romberg, and Richard G. Baraniuk, Beyond Nyquist: Efficient Sampling of Sparse Bandlimited Signals. (Preprint, 2009)
Jeffrey Blanchard, Coralia Cartis, and Jared Tanner, Compressed Sensing: How Sharp is the Restricted Isometry Property?. [Extended Tech Report] (Under revision, 2009)
Jeffrey Blanchard, Coralia Cartis, and Jared Tanner, Decay properties of restricted isometry constants. (IEEE Signal Processing Letters, 16(7), 572-575, 2009)
Tao Wan, Nishan Canagarajah, and Alin Achim, Compressive image fusion. (IEEE ICIP 2008, San Diego, CA, Oct., 2008)
Ali Cafer Gurbuz, James H. McClellan, Justin Romberg, and Waymond R. Scott, Jr., Compressive sensing of parameterized shapes in images. (ICASSP), Las Vegas, Nevada, April 2008)
Massimo Fornasier and Rachel Ward, Iterative thresholding meets free discontinuity problems. (Preprint, January 2009)
V. Cevher, P. Boufounos, R. G. Baraniuk, A. C. Gilbert, and M. J. Strauss, Near-optimal bayesian localization via incoherence and sparsity. (Int. Conf. on Information Processing in Sensor Networks (IPSN), San Francisco, California, April 2009)
Pierre J. Garrigues and Laurent El Ghaoui, An homotopy algorithm for the lasso with online observations. (Neural Information Processing Systems (NIPS), Vancouver, Canada, December 2008)
Hoa V. Pham, Wei Dai and Olgica Milenkovic, Sublinear compressive sensing reconstruction via belief propagation decoding. (Preprint, January 2009)
L. Baboulaz and P.L. Dragotti, Exact feature extraction using finite rate of innovation principles with an application to image super-resolution. (IEEE Trans. on Image Processing, 18(2), pp. 281 - 298, February 2009)
Sergio D. Cabrera, J. Gerardo Rosiles, and Alejandro E. Brito, Affine scaling transformation algorithms for harmonic retrieval in a compressive sensing framework. (Proc. Wavelets XIII, SPIE, San Diego, California, August 2007)
Sergio D. Cabrera, Rufino Dominguez, J. Gerardo Rosiles, and Javier Vega-Pineda, Variable-p affine scaling transformation algorithms for improved compressive sensing. (Proc. Sensor, Signal, and Info. Proc. Workshop (SenSIP), Sedona, Arizona, May 2008)
Rufino J. Dominguez, Sergio D. Cabrera, J. Gerardo Rosiles, and Javier Vega-Pineda, Reconstruction in compressive sensing using affine scaling transformations with variable-p diversity measure. (Proc. IEEE DSP Workshop, Marco Island, Florida, January 2009)
Mark A. Davenport, Chinmay Hegde, Marco F. Duarte, and Richard G. Baraniuk, A theoretical analysis of joint manifolds. (Rice University ECE Department Technical Report TREE-0901, January 2009)
Wei Dai, Hoa Vinh Pham, and Olgica Milenkovic, Distortion-Rate functions for quantized compressive sensing. (Preprint, 2009)
Kush R. Varshney, Müjdat Çetin, John W. Fisher, and Alan S. Willsky. Sparse representation in structured dictionaries with application to synthetic aperture radar. (IEEE Transactions on Signal Processing, 56(8), pp. 3548 - 3561, August 2008)
Dror Baron, Shriram Sarvoham, and Richard G. Baraniuk, Bayesian compressive sensing via belief propagation. (Preprint, 2008)
Pradeep Sen and Soheil Darabi, Compressive dual photography. (Computer Graphics Forum, March 2009)
Robert Calderbank, Stepen Howard, and Sina Jafarpour, Construction of a large class of deterministic sensing matrices that satisfy a statistical isometry property. (To appear in the Compressed Sensing Special Issue of IEEE Journal of Selected Topics in Signal Processing)
Waheed U. Bajwa, Akbar Sayeed, and Robert Nowak, Sparse multipath channels: Modeling and estimation. (IEEE Digital Signal Proc. Workshop, Marco Island, Florida, January 2009)
Waheed U. Bajwa, Akbar Sayeed, and Robert Nowak, Compressed sensing of wireless channels in time, frequency, and space. (Asilomar Conf. on Signals, Systems, and Computers, Pacific Grove, California, October 2008)
Justin P. Haldar, Diego Hernando, Rank-Constrained Solutions to Linear Matrix Equations using PowerFactorization. (IEEE Signal Processing Letters, 16:584-587, 2009)
Justin Haldar, Diego Hernando, and Zhi-Pei Liang, Compressed sensing in MRI with non-Fourier encoding. (Preprint, 2008)
Salman Asif and Justin Romberg, Streaming measurements in compressive sensing: ell-1 filtering. (Preprint, 2008)
Albert Cohen, Wolfgang Dahmen, and Ronald DeVore, Instance optimal decoding by thresholding in compressed sensing. (Preprint, 2008)
Dmitry Malioutov, Sujay Sanghavi, and Alan Willsky, Compressed sensing with sequential observations. (IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP), Las Vegas, Nevada, April 2008)
Marco Duarte, Michael Wakin, and Richard Baraniuk, Wavelet-domain compressive signal reconstruction using a hidden Markov tree model. (IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP), Las Vegas, Nevada, April 2008)
Sangkyun Lee and Stephen Wright, Implementing algorithms for signal and image reconstruction on graphical processing units. (Preprint, 2008)
Moshe Mishali, Yonina C. Eldar, and Joel A. Tropp, Efficient sampling of sparse wideband analog signals. (Conv. IEEE in Israel (IEEEI), Eilat, Israel, December 2008))
F. Malgouyres and T. Zeng, A predual proximal point algorithm solving a non negative basis pursuit denoising model. (International Journal of Computer Vision (IJCV), vol. 83, num.3, pp 294-311, July 2009)
Volkan Cevher, Marco Duarte, Chinmay Hegde, and Richard Baraniuk, Sparse signal recovery using Markov random fields. (Neural Information Processing Systems (NIPS), Vancouver, Canada, December 2008)
R. Berinde, P. Indyk, and M. Ružić, Practical near-optimal sparse recovery in the ell-1 norm. (Proc. Allerton Conference on Communication, Control, and Computing, Monticello, IL, September 2008)
Jian-Feng Cai, Emmanuel Candès , and Zuowei Shen, A singular value thresholding algorithm for matrix completion. (Preprint, 2008)
Giuseppe Valenzise, Giorgio Prandi, Mario Tagliasacchi, and Augusto Sarti, Identification of sparse audio tampering using distributed source coding and compressive sensing techniques. (Preprint, 2008) [See also related conference publication: DAFX 2008]
Marco Tagliasacchi, Giuseppe Valenzise, and Stefano Tubaro, Hash-based identification of sparse image tampering. (Preprint, 2008) [See also related conference publication: ICIP 2008]
Lihan He and Lawrence Carin, Exploiting structure in wavelet-based bayesian compressed sensing. (Accepted for publication in IEEE Transactions on Signal Processing)
Farid M. Naini, Rémi Gribonval, Laurent Jacques, and Pierre Vandergheynst, Compressive sampling of pulse trains: Spread the spectrum! (Preprint, 2008)
L. Jacques, P. Vandergheynst, A. Bibet, V. Majidzadeh, A. Schmid, and Y. Leblebici, CMOS compressed imaging by random comvolution. (Preprint, 2008)
R. Neelamani, C. Krohn, J. Krebs, M. Deffenbaugh, and J. Romberg, Efficient Seismic Forward Modeling using Simultaneous Random Sources and Sparsity. (Society of Exploration Geophysicists (SEG) Annual Meeting, November 2008)
Yonina Eldar, Uncertainty relations for analog signals. (Preprint, 2008)
Hossein Mohimani, Massoud Babaie-Zadeh, Christian Jutten, A fast approach for overcomplete sparse decomposition based on smoothed ell-0 norm. (Preprint, 2008) [See also related conference publications: ICA 2007 ICASSP 2008]
Yaron Rachlin and Dror Baron, The secrecy of compressed sensing measurements. (Proc. Allerton Conference on Communication, Control, and Computing, Monticello, IL, September 2008)
Venkatesh Saligrama and Manqi Zhao, Thresholded basis pursuit: Quantizing linear programming solutions for optimal support recovery and approximation in compressed sensing. (Preprint, 2008)
Michael Wakin, Manifold-based signal recovery and parameter estimation from compressive measurements. (Preprint, 2008)
Yasamin Mostofi and Pradeep Sen, Compressed mapping of communication signal strength. (Military Communications Conference, San Diego, CA, November 2008)
Volkan Cevher, Ali Gurbuz, James McClellan, and Rama Chellappa, Compressive wireless arrays for bearing estimation of sparse sources in angle domain. (IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP), Las Vegas, Nevada, April 2008)
Ali Gurbuz, James McClellan, and Volkan Cevher, A compressive beamforming method. (IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP), Las Vegas, Nevada, April 2008)
J.L. Nelson and V.N. Temlyakov, On the size of incoherent systems. (Preprint, 2008)
Anatoli Juditsky and Arkadi Nemirovskim, On verifiable sufficient conditions for sparse signal recovery via ell-1 minimization. (Preprint, 2008)
Waheed U. Bajwa, Akbar M. Sayeed, and Robert Nowak, Learning sparse doubly-selective channels. (Proc. Allerton Conference on Communication, Control, and Computing, Monticello, IL, September 2008) [See also related technical report]
Jarvis Haupt, Waheed U. Bajwa, Gil Raz, and Robert Nowak, Toeplitz compressed sensing matrices with applications to sparse channel estimation. (Preprint, 2008)
Lee Potter, Phil Schniter, and Justin Ziniel, Sparse reconstruction for RADAR. (SPIE Algorithms for Synthetic Aperture Radar Imagery XV, 2008)
Randy Moses, Müjdat Çetin, and Lee Potter, Wide angle SAR imaging. (SPIE Algorithms for Synthetic Aperture Radar Imagery XI, Orlando, Florida, April, 2004)
Phil Schniter, Lee Potter and Justin Ziniel, Fast Bayesian matching pursuit: Model uncertainty and parameter estimation for sparse linear models. (Preprint 2008) [See also related conference publication: ITA 2008
Shamgar Gurevich and Ronny Hadani, Incoherent dictionaries and the statistical restricted isometry property. (Preprint, 2008)
Rayan Saab and Özgür Yilmaz, Sparse recovery by non-convex optimization - instance optimality. (Preprint, 2008)
John Wright and Yi Ma, Dense error correction via ell-1 minimization (Preprint, 2008)
Davood Shamsi, Petros Boufounos, and Farinaz Koushanfar, Noninvasive leakage power tomography of integrated circuits by compressive sensing. (Preprint, 2008)
Simon Foucart and Ming-Jun Lai, Sparsest solutions of underdetermined linear systems via ell-q minimization for 0 < q <= 1. (Preprint, 2008)
Richard Baraniuk, Volkan Cevher, Marco Duarte, and Chinmay Hegde, Model-based compressive sensing. (Preprint, 2008)
Ronald DeVore, Guergana Petrova, and Przemyslaw Wojtaszczyk, Instance-optimality in probability with an ell-1 decoder. (Preprint, 2008)
Wei Dai, Mona Sheikh, Olgica Milenkovic, and Richard Baraniuk, Compressive sensing DNA microarrays. (Preprint, 2008)
Volkan Cevher, Aswin Sankaranarayanan, Marco Duarte, Dikpal Reddy, Richard Baraniuk, and Rama Chellappa, Compressive sensing for background subtraction. (European Conf. on Computer Vision (ECCV), Marseille, France, October 2008)
Marco Duarte, Shriram Sarvotham, Dror Baron, Michael Wakin, and Richard Baraniuk, Performance limits for jointly sparse signals via graphical models. (Sensor, Signal and Info. Proc. Workshop (SenSIP), Sedona, Arizona, May 2008) [See also related technical report]
Yonina C. Eldar and Moshe Mishali, Robust Recovery of Signals From a Structured Union of Subspaces. (IEEE Trans. Inform. Theory, vol. 55, no. 11, pp. 5302-5316, November 2009)
Yin Zhang, On theory of compressive sensing via ell-1-minimization: Simple derivations and extensions. (Rice CAAM Department Technical Report TR08-11, 2008)
Jianwei Ma and Francois-Xavier Le Dimet, Deblurring from highly incomplete measurements for remote sensing. (To appear in IEEE Trans. Geoscience and Remote Sensing)
S. Dekel, Adaptive compressed image sensing based on wavelet-trees. (Preprint, 2008)
David Donoho and Jared Tanner, Counting the faces of radomly-projected hypercubes and orthants, with applications. (Preprint, 2008)
Justin Romberg, Compressive sensing by random convolution. (Preprint, 2008)
Justin Romberg, Imaging via compressive sampling. (IEEE Signal Processing Magazine, 25(2), pp. 14 - 20, March 2008)
S. Wright, R. Nowak, M. Figueiredo, Sparse reconstruction by separable approximation. (Preprint, 2008)
Wei Dai and Olgica Milenkovic, Weighted superimposed codes and constrained integer compressed sensing. (Preprint, 2008) [See also related conference publications: CISS 2008, ITW 2008]
Mike E. Davies and Rémi Gribonval, Restricted isometry constants where ell-p sparse recovery can fail for 0 < p <= 1. (Preprint, 2008)
Weiyu Xu and Babak Hassibi, Compressed sensing over the Grassmann manifold: A unified analytical framework. (Preprint, 2008)
Venkatesh Saligrama, Deterministic designs with deterministic guarantees: Toeplitz compressed sensing matrices, sequence design and system identification. (Preprint, 2008)
Ingrid Daubechies, Ronald DeVore, Massimo Fornasier, and C. Sinan Güntürk, Iteratively re-weighted least squares minimization for sparse recovery. (Preprint, 2008)
Julien Mairal, Fracis Bach, Jean Ponce, Guillermo Sapiro, and Andrew Zisserman, Discriminative learned dictionaries for local image analysis. (IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), Anchorage, Alaska, June 2008)
Fernando Rodriguez and Guillermo Sapiro, Sparse representations for image classification: Learning discriminative and reconstructive non-parametric dictionaries. (Preprint, 2008)
J. F. Gemmeke and B. Cranen, Noise reduction through compressed sensing. (Interspeech 2008, Brisbane, Australia, September 2008)
J. F. Gemmeke and B. Cranen, Using sparse representations for missing data imputation in noise robust speech recognition . (European Signal Processing Conf. (EUSIPCO), Lausanne, Switzerland, August 2008)
J. F. Gemmeke and B. Cranen, Noise robust digit recognition using sparse representations. (ISCA Tutorial and Research Workshop (ITRW) on Speech Analysis and Processing for Knowledge Discovery, Aalborg, Denamrk, June 2008)
Yonina C. Eldar, Compressed sensing of analog signals. (Preprint, 2008)
Yang Xiao, Underwater acoustic sensor networks. (Excerpt, Auerbach Publications, 2008)
Rayan Saab, Rick Chartrand, and Özgür Yilmaz, Stable sparse approximation via nonconvex optimization. (IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP), Las Vegas, Nevada, April 2008)
Hong Jung, Kyunghyun Sung, Krishna S. Nayak, Eung Yeop Kim, and Jong Chul Ye, k-t FOCUSS: A general compressed sensing framework for high resolution dynamic MRI. (Magnetic Resonance in Medicine, 61:103–116, 2009)
T. Tony Cai, Guangwu Xu, and Jun Zhang, On recovery of sparse signals via ell-1 minimization. (Preprint, 2008)
Emmanuel Candès, The restricted isometry property and its implications for compressed sensing. (Compte Rendus de l'Academie des Sciences, Paris, Series I, 346, pp. 589-592, 2008)>
Emmanuel Candès and Michael Wakin, An introduction to compressive sampling. (IEEE Signal Processing Magazine, 25(2), pp. 21 - 30, March 2008) [High-resolution version]
Shuchin Aeron, Manqi Zhao, and Venkatesh Saligrama, Fundamental limits on sensing capacity for sensor networks and compressed sensing. (Preprint, 2008)
Jong Chul Ye and Su Yeon Lee, Non-iterative exact inverse scattering using simultanous orthogonal matching pursuit (S-OMP). (IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP), Las Vegas, Nevada, April 2008)
Jianwei Ma, Compressed sensing by inverse scale space and curvelet thresholding. (Applied Mathematics and Computation, 206, pp. 980-988, 2008)
Patrick Combettes and Valérie Wajs, Signal recovery by proximal forward-backward splitting. (Multiscale Modeling and Simulation, 4(4), pp. 1168 - 1200, November 2005)
Caroline Chaux, Patrick Combettes, Jean-Christophe Pesquet, and Valérie Wajs, A variational formulation for frame-based inverse problems. (Inverse Problems, 23, pp. 1495 - 1518, June 2007)
Patrick Combettes and Jean-Christophe Pesquet, Proximal thresholding algorithm for minimization over orthonormal bases. (SIAM Journal on Optimization, 18(4), pp. 1351 - 1376, November 2007)
Shamgar Gurevich, Ronny Hadani, and Nir Sochen, On some deterministic dictionaries supporting sparsity. (To appear in Journal of Fourier Analysis and Applications)
T. Cukur, M. Lustig, and D.G. Nishimura, Improving non-contrast-enhanced steady-state free precession angiography with compressed sensing. (Preprint, 2008)
Simon Hu, Michael Lustig, Albert P. Chen, Jason Crane, Adam Kerr, Douglas A.C. Kelley, Ralph Hurd, John Kurhanewicz, Sarah J. Nelsona, John M. Pauly and Daniel B. Vigneron, Compressed sensing for resolution enhancement of hyperpolarized 13C flyback 3D-MRSI. (Journal of Magnetic Resonance, 192(2), pp. 258 - 264, June 2008)
Volkan Cevher, Marco Duarte, and Richard Baraniuk, Distributed target localization via spatial sparsity. (European Signal Processing Conf. (EUSIPCO), Lausanne, Switzerland, August 2008)
Roummel Marcia and Rebecca Willett, Compressive coded aperture video reconstruction. (European Signal Processing Conf. (EUSIPCO), Lausanne, Switzerland, August 2008) [See also related conference publication: ICASSP 2008]
Thong T. Do, Lu Gan, Nam Nguyen, and Trac D. Tran, Sparsity adaptice matching pursuit algorithm for practical compressed sensing. (Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, California, October 2008)
Emmanuel Candès and Benjamin Recht, Exact matrix completion via convex optimization. (Preprint, 2008)
Julio Martin Duarte-Carvajalino and Guillermo Sapiro, Learning to sense sparse signals: Simultaneous sensing matrix and sparsifying dictionary optimization. (Preprint, 2008)
Sina Jafarpour, Weiyu Xu, Babak Hassibi, and Robert Calderbank, Efficient compressed sensing using high-quality expander graphs. (to appear in IEEE Trans Info Theory, 2009)
Dapo Omidiran and Martin J. Wainwright, High-dimensional subset recovery in noise: Sparsified measurements without loss of statistical efficiency. (Preprint, 2008)
V. Stankovic, L. Stankovic, and S. Cheng, Compressive video sampling. (European Signal Processing Conf. (EUSIPCO), Lausanne, Switzerland, August 2008)
Stéphane Chrétien, An alternating ell-1 approach to the compressed sensing problem. (Preprint, 2008)
Lawrence Carin, Dehong Liu, and Bin Guo, In situ compressive sensing for multi-static scattering: Imaging and the restricted isometry property. (Preprint, 2008)
T. Blumensath and M. E. Davies, Iterative hard thresholding for compressed sensing. (Preprint, 2008)
T. Blumensath and M. E. Davies, Stagewise weak gradient pursuits. Part I: Fundamentals and numerical studies. (Preprint, 2008)
T. Blumensath and M. E. Davies, Stagewise weak gradient pursuits. Part II: Theoretical properties. (Preprint, 2008)
Namrata Vaswani, Kalman filtered compressed sensing. (IEEE Int. Conf. on Image Processing (ICIP), San Diego, California, October 2008)
R. Berinde, A. C. Gilbert, P. Indyk, H. Karloff, and M. J. Strauss, Combining geometry and combinatorics: A unified approach to sparse signal recovery. (Preprint, 2008)
Matthias W. Seeger and Hannes Nickish, Compressed sensing and bayesian experimental design. (Int. Conf. on Machine Learning (ICML), Helsinki, Finland, July 2008)
Pierre Borgnat and Patrick Flandrin, Time-frequency localization from sparsity constraints. (IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP), Las Vegas, Nevada, April 2008)
Alyson K. Fletcher, Sundeep Rangan, Vivek K Goyal, and Kannan Ramchandran, Denoising by sparse approximation: Error bounds based on rate-distortion theory. (EURASIP J. Applied Signal Processing, 2006, Article ID 26318.)
Alyson K. Fletcher, Sundeep Rangan, and Vivek K Goyal, On the Rate-Distortion Performance of Compressed Sensing. (IEEE Int. Conf. Acoustics, Speech, and Signal Processing (ICASSP), Honolulu, Hawaii, April 2007)
Alyson K. Fletcher, Sundeep Rangan, and Vivek K Goyal, Rate-distortion bounds for sparse approximation. (IEEE Statistical Signal Processing Workshop (SSP), Madison, Wisconsin, August 2007)
Vincent Y. F. Tan and Vivek K Goyal, Estimating signals with finite rate of innovation from noisy samples: A stochastic algorithm. IEEE Trans. on Signal Processing, 56(10), pp. 5135-5146, October 2008
Julius Kusuma and Vivek K Goyal, Multichannel sampling of parametric signals with a successive approximation property. (IEEE Int. Conf. on Image Processing (ICIP), Atlanta, Georgia, October 2006)
Vivek K Goyal, Alyson K. Fletcher, and Sundeep Rangan, Compressive sampling and lossy compression. (IEEE Signal Processing Magazine, 25(2), pp. 48-56, March 2008)
Alyson K. Fletcher, Sundeep Rangan, and Vivek K Goyal, Necessary and sufficient conditions on sparsity pattern recovery. (Submitted to IEEE Trans. Information Theory)
Yuting Qi, Dehong Liu, David Dunson, and Lawrence Carin, Bayesian multi-task compressive sensing with dirichlet process priors. (Preprint, 2008)
Lorne Applebaum, Stephen Howard, Stephen Searle, and Robert Calderbank, Chirp sensing codes: Deterministic compressed sensing measurements for fast recovery. (Preprint, 2008)
Petros Boufounos and Richard G. Baraniuk, Reconstructing sparse signals from their zero crossings. (IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP), Las Vegas, Nevada, April 2008)
Petros Boufounos and Richard G. Baraniuk, 1-Bit compressive sensing. (Conf. on Info. Sciences and Systems (CISS), Princeton, New Jersey, March 2008)
Lu Gan, Thong Do, Trac D. Tran, Fast compressive imaging using scrambled block Hadamard ensemble. (Preprint, 2008)
D. Needell and J. A. Tropp, CoSaMP: Iterative signal recovery from incomplete and inaccurate samples. (Preprint, 2008)
Jianwei Ma, Compressed sensing for surface characterization and metrology. (IEEE Transactions on Instrument and Measurement, to appear)
Florian Sebert, Leslie Ying, and Yi Ming Zou, Toeplitz block matrices in compressed sensing. (Preprint, 2008)
J. Haupt and R. Nowak, A generalized restricted isometry property. (University of Wisconsin Madison Technical Report ECE-07-1, May 2007)
J. Haupt and R. Nowak, Compressive sampling vs conventional imaging. (Int. Conf. on Image Processing (ICIP), Atlanta, Georgia, October 2006)
R.M. Castro, J. Haupt, R. Nowak, and G.M. Raz, Finding needles in noisy haystacks. (IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP), Las Vegas, Nevada, April 2008)
Rachel Ward, Compressed sensing with cross validation. (Preprint, 2008) [Formerly titled "Cross validation in compressed sensing via the Johnson Lindenstrauss Lemma"]
Wei Dai and Olgica Milenkovic, Subspace pursuit for compressive sensing: Closing the gap between performance and complexity. (Preprint, 2008)
Venkat Chandar, A negative result concerning explicit matrices with the restricted isometry property. (Preprint, 2008)
Basarab Matei and Yves Meyer, A variant on the compressed sensing of Emmanuel Candès. (Preprint, 2008)
Waheed U. Bajwa, Jarvis Haupt, Gil Raz, and Robert Nowak, Compressed channel sensing. (Conf. on Info. Sciences and Systems (CISS), Princeton, New Jersey, March 2008)
Georg Taubŏck and Franz Hlawatsch, A compressed sensing technique for OFDM channel estimation in mobile environments: Exploiting channel sparsity for reducing pilots. (IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP), Las Vegas, Nevada, April 2008)
S. D. Howard, A. R. Calderbank, and S. J. Searle, A fast reconstruction algortihm for deterministic compressive sensing using second order Reed-Muller codes. (Conf. on Info. Sciences and Systems (CISS), Princeton, New Jersey, March 2008)
P. Wojtaszczyk, Stability and instance optimality for Gaussian measurements in compressed sensing. (Preprint, 2008)
Moshe Mishali and Yonina C. Eldar, Reduce and boost: Recovering arbitrary sets of jointly sparse vectors. (IEEE Trans. on Signal Processing, 56(10), pp. 4692-4702, October 2008)
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D.P. Wipf, J.A. Palmer, and B.D. Rao, Perspectives on Sparse Bayesian Learning. (Neural Information Processing Systems (NIPS), Vancouver, Canada, December 2004)
D.P. Wipf and B.D. Rao, Sparse bayesian learning for basis selection . (IEEE Trans. on Signal Processing, Special Issue on Machine Learning Methods in Signal Processing, 52, pp. 2153 - 2164, August 2004)
S. F. Cotter, B. D. Rao, K. Engan, and K. Kreutz-Delgado, Sparse solutions to linear inverse problems with multiple measurement vectors . (IEEE Trans. on Signal Processing, 53(9), pp. 2477 - 2488, July 2005)
D. Wipf and B. D. Rao, An empirical bayesian strategy for solving the simultaneous sparse approximation problem. (IEEE Trans. on Signal Processing, 55(7), pp. 3704 - 3716, July 2007)
Mehmet Akcakaya and Vahid Tarokh, Shannon theoretic limits on noisy compressed sensing. (Preprint, November 2007)
Mehmet Akcakaya and Vahid Tarokh, A frame construction and a universal distortion bound for sparse representations. IEEE Transactions on Signal Processing, vol. 56, pp. 2443-2450, June 2008.
Emmanuel Candès and Yaniv Plan, Near-ideal model selection by ell-1 minimization. (Preprint, 2007)
J. Bobin, J.-L. Starck, and R. Ottensamer, Compressed sensing in astronomy. (Preprint, 2008)
Ewout van den Berg and Michael P. Friedlander, Probing the Pareto frontier for basis pursuit solutions. (Preprint, January 2008)
Galen Reeves, Sparse signal sampling using noisy linear projections. (Master's Thesis, December 2007)
Galen Reeves and Michael Gastpar, Sampling bounds for sparse support recovery in the presence of noise. (Preprint, Januaryr 2008)
Radu Berinde and Piotr Indyk, Sparse recovery using sparse random matrices. (Preprint, 2008)
Julien Mairal, Guillermo Sapiro, and Michael Elad, Multiscale sparse image representation with learned dictionaries. (Preprint, 2007)
Rick Chartrand and Valentina Staneva, Restricted isometry properties and nonconvex compressive sensing. (Inverse Problems, vol. 24, no. 035020, pp. 1--14, 2008)
Thomas Blumensath and Mike E. Davies, Sampling theorems for signals from the union of linear subspaces. (Preprint, 2007)
Marco Duarte, Mark Davenport, Dharmpal Takhar, Jason Laska, Ting Sun, Kevin Kelly, and Richard Baraniuk, Single-pixel imaging via compressive sampling. (IEEE Signal Processing Magazine, 25(2), pp. 83 - 91, March 2008)
Nam H. Nguyen and Trac D. Tran, The stability of regularized orthogonal mathcing pursuit. (Preprint, 2007)
Alfred M. Bruckstein, Michael Elad, and Michael Zibulevsky, A non-negative and sparse enough solution of an underdetermined linear system of equations is unique. (Preprint, 2007)
Deanna Needell and Roman Vershynin, Signal recovery from incomplete and inaccurate measurements via regularized orthogonal matching pursuit. (Preprint, 2007)
Gilles Hennenfent and Felix J. Herrmann, Simply denoise: wavefield reconstruction via jittered undersampling. (Geophysics, 2008)
Sadegh Jokar and Marc E. Pfetsch, Exact and approximate sparse solutions of underdetermined linear equations. (Preprint, 2007)
Shuchin Aeron, Manqi Zhao, and Venkatesh Saligrama, Sensing capacity of sensor networks: Fundamental tradeoffs of SNR, sparsity, and sensing diversity. (Information Theory and Applications Workshop, January 2007)
Shuchin Aeron, Manqi Zhao, and Venkatesh Saligrama, On sensing capacity of sensor networks for the class of linear observation, fixed SNR models. (Preprint, 2007)
Mona Sheikh, Olgica Milenkovic, and Richard Baraniuk, Designing compressive sensing DNA microarrays. (IEEE Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), St. Thomas, U.S. Virgin Islands, December 2007)
Gotz Pfander and Holger Rauhut, Sparsity in time-frequency representations. (Preprint, 2007)
Marco Duarte, Mark Davenport, Michael Wakin, Jason Laska, Dharmpal Takhar, Kevin Kelly, and Richard Baraniuk, Multiscale random projections for compressive classification. (IEEE Conf. on Image Processing (ICIP), San Antonio, Texas, September 2007)
Karen Egiazarian, Alessandro Foi, and Vladimir Katkovnik, Compressed sensing image reconstruction via recursive spatially adaptive filtering. (IEEE Conf. on Image Processing (ICIP), San Antonio, Texas, September 2007)
Ray Maleh and Anna Gilbert, Multichannel image estimation via simultaneous orthogonal matching pursuit. (IEEE Workshop on Statistical Signal Processing (SSP), Madison, Wisconsin, August 2007)
Ray Maleh, Anna Gilbert, and Martin Strauss, Sparse gradient image reconstruction done faster. (IEEE Conf. on Image Processing (ICIP), San Antonio, Texas, September 2007)
Chinmay Hegde, Michael Wakin, and Richard Baraniuk, Random projections for manifold learning. (Neural Information Processing Systems (NIPS), Vancouver, Canada, December 2007)[See also related technical report]
Gotz Pfander, Holger Rauhut, and Jared Tanner, Identification of matrices having a sparse representation. (Preprint, 2007) [See also related note]
Matthew Herman and Thomas Strohmer, High-resolution radar via compressed sensing. (To appear in IEEE Trans. on Signal Processing)
Thong T. Do, Trac D. Tran, and Lu Gan, Fast compressive sampling with structurally random matrices. (Preprint, 2007)
Mona Sheikh and Richard Baraniuk, Blind error-free detection of transform-domain watermarks. (IEEE Int. Conf. on Image Processing (ICIP), San Antonio, Texas, September 2007)
Mona Sheikh, Shriram Sarvotham, Olgica Milenkovic, and Richard Baraniuk, DNA array decoding from nonlinear measurements by beleif propagation. (IEEE Workshop on Statistical Signal Processing (SSP), Madison, Wisconsin, August 2007)
Sujit Bhattacharya, Thomas Blumensath, Bernard Mulgrew, and Mike Davies, Fast encoding of synthetic aperture radar raw data using compressed sensing. (IEEE Workshop on Statistical Signal Processing, Madison, Wisconsin, August 2007)
Richard Baraniuk and Philippe Steeghs, Compressive radar imaging. (IEEE Radar Conference, Waltham, Massachusetts, April 2007)
John Wright, Allen Yang, Arvind Ganesh, Shankar Shastry, and Yi Ma, Robust face recognition via sparse representation. (To appear in IEEE Trans. on Pattern Analysis and Machine Intelligence)
Allen Yang, John Wright, Yi Ma, and Shankar Sastry, Feature selection in face recognition: A sparse representation perspective. (Preprint, 2007)
Yoav Sharon, John Wright, and Yi Ma, Computation and relaxation of conditions for equivalence between ell-1 and ell-0 minimization. (Preprint, 2007)
Rick Chartrand and Wotao Yin, Iteratively reweighted algorithms for compressive sensing. (IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP), Las Vegas, Nevada, April 2008)
Waheed Bajwa, Jarvis Haupt, Gil Raz, Stephen Wright, and Robert Nowak, Toeplitz-structured compressed sensing matrices. (IEEE Workshop on Statistical Signal Processing (SSP), Madison, Wisconsin, August 2007)
Frank Boyle, Jarvis Haupt, Gerald Fudge, and Robert Nowak, Detecting signal structure from randomly-sampled data. (Proc. IEEE Workshop on Statistical Signal Processing (SSP), Madison, Wisconsin, August 2007)
Jarvis Haupt and Robert Nowak, Compressive sampling for signal detection. (Proc. IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP), Honolulu, Hawaii, April 2007)
P. Shukla and P. L. Dragotti, Sampling schemes for multidimensional signals with finite rate of innovation. (IEEE Trans. on Signal Processing, 55(7), pp. 3670-3686, July 2007)
Emmanuel Candès, Michael Wakin, and Stephen Boyd, Enhancing sparsity by reweighted ell-1 minimization. (Preprint, 2008)
W. Bajwa, J. Haupt, A. Sayeed and R. Nowak, Joint source-channel communication for distributed estimation in sensor networks. (IEEE Trans. on Information Theory, 53(10) pp. 3629-3653, October 2007)
Joshua Trzasko, Armando Manduca, and Eric Borisch, Highly undersampled magnetic resonance image reconstruction via homotopic ell-0-minimization (IEEE Trans. Medical Imaging 28(1): 106-121, 2009) [See also related conference publication: SSP 2007]
Roland Griesse, Dirk A. Lorenz, A semismooth Newton method for Tikhonov functionals with sparsity constraints. (Preprint, 2007)
Wotao Yin, Stanley Osher, Donald Goldfarm, and Jerome Darbon, Bregman iterative algorithms for ell-1 minimization with applications to compressed sensing. (Preprint, 2007)
Benjamin Rect, Maryam Fazel, Pablo A. Parrilo, Guaranteed minimum-rank solution of linear matrix equations via nuclear norm minimization. (Preprint, 2007)
Mário A. T. Figueiredo, Robert D. Nowak, and Stephen J. Wright, Gradient projection for sparse reconstruction: Application to compressed sensing and other inverse problems. (IEEE Journal of Selected Topics in Signal Processing: Special Issue on Convex Optimization Methods for Signal Processing, 1(4), pp. 586-598, 2007)
Weiyu Xu and Babak Hassibi, Efficient compressive sensing with determinstic guarantees using expander graphs. (IEEE Information Theory Workshop, Lake Tahoe, September 2007)
Venkatesan Guruswami, James R. Lee, and Alexander Razborov, Almost Euclidean subspaces of ell-1-N via expander codes. (Electronic Colloquium on Computational Complexity, Report TR07-089, September, 2007)
Moshe Mishali and Yonina C. Eldar, Blind multi-band signal reconstruction: compressed sensing for analog signals. (IEEE Trans. on Signal Processing, 57(30), pp. 993-1009, March 2009)
Petros Boufounos and Richard G. Baraniuk, Sigma delta quantization for compressive sensing. (Preprint, 2007)
Petros Boufounos, Marco F. Duarte, and Richard G. Baraniuk, Sparse signal reconstruction from noisy compressive measurements using cross validation. (Proc. IEEE Workshop on Statistical Signal Processing, Madison, Wisconsin, August 2007)
Boris S. Kashin and Vladimir N. Temlyakov, A remark on compressed sensing. (Matem. Zametki, 82, pp. 821--830, 2007)
Elaine T. Hale, Wotao Yin, and Yin Zhang, A fixed-point continuation method for ell-1 regularized minimization with applications to compressed sensing. (Preprint, 2007)
Yin Zhang, When is missing data recoverable? (Rice CAAM Department Technical Report TR05-15, 2005)
Yin Zhang, A simple proof for recoverability of ell-1-minimization (II): the nonnegative case. (Rice CAAM Department Technical Report TR05-10, 2005)
Yin Zhang, A simple proof for recoverability of ell-1-minimization: go over or under? (Rice CAAM Department Technical Report TR05-09, 2005)
Gilles Hennenfent and Felix J. Herrmann, Irregular sampling: from aliasing to noise. (Proc. EAGE 2007)
Felix J. Herrmann, Deli Wang, and Gilles Hennenfent, Multiple prediction from incomplete data with the focused curvelet transform. (Proc. SEG 2007)
Challa Sastry, Gilles Hennenfent, and Felix J. Herrmann, Signal reconstruction from incomplete and misplaced measurements. (Proc. EAGE 2007)
Felix J. Herrmann, Surface related multiple prediction from incomplete data. (Proc. EAGE 2007)
Gilles Hennenfent and Felix J. Herrmann, Curvelet reconstruction with sparsity-promoting inversion: successes and challenges. (Proc. EAGE 2007)
Felix J. Herrmann and Gilles Hennenfent, Non-parametric seismic data recovery with curvelet frames. (UBC Earth & Ocean Sciences Department Technical Report TR-2007-1, 2007)
Rebecca Willett, Michael Gehm, and David Brady, Multiscale reconstruction for computational spectral imaging. (Proc. Computational Imaging V at SPIE Electronic Imaging, San Jose, California, January 2007)
Tim Lin and Felix. J. Herrmann, Compressed wavefield extrapolation. (To appear in Geophysics, 2007) [See also related conference publication: SEG 2007]
Felix J. Herrmann, Deli Wang, Gilles Hennenfent and Peyman Moghaddam, Curvelet-based seismic data processing: a multiscale and nonlinear approach. (To appear in Geophysics, 2007)
Mark Iwen, A deterministic sub-linear time sparse Fourier algorithm via non-adaptive compressed sensing methods. (Preprint, 2007)
Lawrence Carin, Dehong Liu, Wenbin Lin, and Bin Guo, Compressive sensing for multi-static scattering analysis. (Preprint, 2007)
José Bioucas-Dias and Mário Figueiredo, A new TwIST: two-step iterative shrinkage/thresholding algorithms for image restoration. (IEEE Trans. on Image Processing, 16(12), pp. 2992 - 3004, Dec. 2007)
Kristan Bredies and Dirk A. Lorenz, Iterated hard shrinkage for minimization problems with sparsity constraints. (Preprint, 2007)
Deanna Needell and Roman Vershynin, Uniform uncertainty principle and signal recovery via regularized orthogonal matching pursuit. (Preprint, 2007)
Akram Aldroubi, Carlos Cabrelli, and Ursula Molter, Optimal non-linear models for sparsity and sampling. (Preprint, 2007)
Piotr Indyk, Explicit constructions for compressed sensing of sparse signals. (Proc. of the 9th Symposium on Discrete Algorithms, 2008)
Remi Gribonval and Morten Nielsen, Beyond sparsity : recovering structured representations by ell-1-minimization and greedy algorithms - Application to the analysis of sparse underdetermined ICA. (To appear in Advances in Computational Mathematics)
Ewout van den Berg and Michael Friedlander, In pursuit of a root. (Preprint, 2007)
Massimo Fornasier, Domain decomposition methods for linear inverse problems with sparsity constraints. (Inverse Problems, 23(6), pp. 2505 - 2526, Dec. 2007)
Ingrid Daubechies, Massimo Fornasier, and Ignace Loris, Accelerated projected gradient method for linear inverse problems with sparsity constraints. (Preprint, 2007)
Rémi Gribonval and Morten Nielsen, Highly sparse representations from dictionaries are unique and independent of the sparseness measure. (Applied and Computational Harmonic Analysis, 22(3), pp. 335-355, May 2007) [See also related conference publication: ICA 2004]
Rémi Gribonval, Rosa Maria Figueras I Ventura, and Pierre Vandergheynst, A simple test to check the optimality of a sparse signal approximation. (EURASIP Signal Processing, special issue on Sparse Approximations in Signal and Image Processing, 86(3), pp. 496-510, March 2006) [See also related conference publication: ICASSP 2005]
Shihao Ji, David Dunson, and Lawrence Carin, Multi-task compressive sensing. (Preprint, 2007)
Cynthia Dwork, Frank McSherry, and Kunal Talwar, The price of privacy and the limits of LP decoding. (Proc. Symposium on Theory of Computing (STOC), San Diego, California, June, 2007)
Rick Chartrand, Exact reconstructions of sparse signals via nonconvex minimization. (IEEE Signal Proc. Lett., 14(10) pp. 707-710, 2007)
Rick Chartrand, Nonconvex compressed sensing and error correction. (Proc. IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP), Honolulu, Hawaii, April 2007)
Martin Wainwright, Information-theoretic bounds on sparsity recovery in the high-dimensional and noisy setting. (Proc. IEEE Int. Symposium on Information Theory (ISIT), Nice, France, June 2007)
Wei Wang, Minos Garofalakis, and Kannan Ramchandran, Distributed sparse random projections for refinable approximation. (Proc. Int. Conf. on Information Processing in Sensor Networks (IPSN), Cambridge, Massachusetts, April 2007)
Richard Baraniuk, Compressive Sensing. (IEEE Signal Processing Magazine, 24(4), pp. 118-121, July 2007)
Mona Sheikh, Olgica Milenkovic, and Richard Baraniuk, Compressed sensing DNA microarrays. (Rice ECE Department Technical Report TREE 0706, May 2007)
Tamer Ragheb, Sami Kirolos, Jason Laska, Anna Gilbert, Martin Strauss, Richard Baraniuk, and Yehia Massoud, Implementation models for analog-to-information conversion via random sampling. (To appear in Proc. Midwest Symposium on Circuits and Systems (MWSCAS), 2007)
Karen Egiazarian, Alessandro Foi, and Vladimir Katkovnik, Compressed sensing image reconstruction via recursive spatially adaptive filtering. (Preprint, 2007)
Rémi Gribonval, Holger Rauhut, Karin Schnass, and Pierre Vandergheynst, Atoms of all channels, unite! Average case analysis of multi-channel sparse recovery using greedy algorithms. (Preprint, 2007) [See also related conference publication: ICASSP 2007]
Pier Luigi Dragotti, Martin Vetterli, and Thierry Blu, Sampling moments and reconstructing signals of finite rate of innovation: Shannon meets Strang-Fix. (IEEE Trans. on Signal Processing, 55(7), pp. 1741-1757, May 2007)
Ivana Jovanovic and Baltasar Beferull-Lozano, Oversampled A/D conversion and error-rate dependence of nonbandlimited signals with finite rate of innovation. (IEEE Trans. on Signal Processing, 54(6), pp. 2140-2154 , June 2006)
David Wipf, Jason Palmer, Bhaskar Rao, and Kenneth Kreutz-Delgado, Performance evaluation of latent variable models with sparse priors. (Proc. IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP), Honolulu, Hawaii, May 2007)
Lu Gan, Block compressed sensing of natural images. (Proc. Int. Conf. on Digital Signal Processing (DSP), Cardiff, UK, July 2007)
Lawrence Carin, Dehong Liu, and Ya Xue, In Situ Compressive Sensing. (Inverse Problems, 24(1), Feb. 2008) [See also related conference publication: SSP 2007]
Anna Gilbert, Martin Strauss, Joel Tropp, and Roman Vershynin, One sketch for all: Fast algorithms for compressed sensing. (To appear in Proc. STOC 2007)
Jong Chul Ye, Compressed sensing shape estimation of star-shaped objects in Fourier imaging (Preprint, 2007)
Hong Jung, Jong Chul Ye, and Eung Yeop Kim, Improved k-t BLASK and k-t SENSE using FOCUSS (Phys. Med. Biol., 52 pp. 3201 - 3226, 2007)
Massimo Fornasier and Holger Rauhut, Iterative thresholding algorithms. (Preprint, 2007)
Petros Boufounos and Richard Baraniuk, Quantization of sparse representations. (Rice ECE Department Technical Report TREE 0701 - Summary appears in Proc. Data Compression Conference (DCC), Snowbird, Utah, March 2007)
Thomas Blumensath and Mike E. Davies, Iterative thresholding for sparse approximations. (Preprint, 2007)
Thomas Blumensath and Mike E. Davies, Gradient pursuits. (IEEE Trans. on Signal Processing, 56(6), pp. 2370 - 2382, June 2008)
David L. Donoho, Yaakov Tsaig, Iddo Drori, and Jean-Luc Starck, Sparse solution of underdetermined linear equations by stagewise orthogonal matching pursuit. (Preprint, 2007)
Shihao Ji, Ya Xue, and Lawrence Carin, Bayesian compressive sensing. (IEEE Trans. on Signal Processing, 56(6) pp. 2346 - 2356, June 2008) [See also related conference publication: ICML 2007]
Mauricio Sacchi, Tadeusz Ulrych, and Colin Walker, Interpolation and extrapolation using a high-resolution discrete Fourier transform. (IEEE Trans. on Signal Processing, 46(1) pp. 31 - 38, January 1998)
Yue Lu and Minh Do, A theory for sampling signals from a union of subspaces. (IEEE Trans. on Signal Processing, 56(6), pp. 2334 - 2345, June 2008)
Seung-Jean Kim, Kwangmoo Koh, Michael Lustig, Stephen Boyd, and Dimitry Gorinevsky, A method for large-scale ell-1-regularized least squares problems with applications in signal processing and statistics. (Preprint, 2007)
Michael Lustig, David Donoho, and John M. Pauly, Sparse MRI: The application of compressed sensing for rapid MR imaging. (Magnetic Resonance in Medicine, 58(6) pp. 1182 - 1195, December 2007) [See also related conference publication: ISMRM 2006, SPARS 2005, ISMRM 2005]
Ronald A. DeVore, Deterministic constructions of compressed sensing matrices. (J. of Complexity, 23, pp. 918 - 925, August 2007)
Mark Davenport, Marco Duarte, Michael Wakin, Jason Laska, Dharmpal Takhar, Kevin Kelly, and Richard Baraniuk, The smashed filter for compressive classification and target recognition. (Proc. of Computational Imaging V at SPIE Electronic Imaging, San Jose, California, January 2007)
Jason Laska, Sami Kirolos, Marco Duarte, Tamer Ragheb, Richard Baraniuk, and Yehia Massoud, Theory and implementation of an analog-to-information converter using random demodulation. (Proc. IEEE Int. Symp. on Circuits and Systems (ISCAS), New Orleans, Louisiana, 2007)
Emmanuel Candès and Justin Romberg, Sparsity and incoherence in compressive sampling. (Inverse Problems, 23(3) pp. 969-985, 2007)
Holger Rauhut, Karin Schass, and Pierre Vandergheynst, Compressed sensing and redundant dictionaries. (IEEE Trans. on Information Theory, 54(5), pp. 2210 - 2219, May 2008)
Massimo Fornasier and Holger Rauhut, Recovery algorithms for vector valued data with joint sparsity constraints. (SIAM Journal on Numerical Analysis, 46(2) pp. 577-613, 2008)
Holger Rauhut, Stability results for random sampling of sparse trigonometric polynomials. (Preprint, 2006)
Stefan Kunis and Holger Rauhut, Random sampling of sparse trigonometric polynomials II - Orthogonal matching pursuit versus basis pursuit. (Preprint, 2006)
Holger Rauhut, Random sampling of sparse trigonometric polynomials. (Applied and Computational Harmonic Analysis, 22(1), pp. 16-42, Jan. 2007)
Anna Gilbert, Sudipto Guha, Piotr Indyk, S. Muthukrishnan, and Martin Strauss, Near-optimal sparse Fourier representations via sampling. (Proc. ACM Symposium on Theory of Computing (STOC), 2002)
Michael Elad, Optimized projections for compressed sensing. (IEEE Trans. on Signal Processing, 55(12), pp. 5695-5702, December 2007)
S. Muthukrishnan, Some algorithmic problems and results in compressed sensing. (Preprint, 2006)
Mark Davenport, Michael Wakin, and Richard Baraniuk, Detection and estimation with compressive measurements. (Rice ECE Department Technical Report TREE 0610, November 2006)
Michael Wakin, Jason Laska, Marco Duarte, Dror Baron, Shriram Sarvotham, Dharmpal Takhar, Kevin Kelly, and Richard Baraniuk, An architecture for compressive imaging. (Proc. Int. Conf. on Image Processing (ICIP), Atlanta, Georgia, October 2006)
Jarvis Haupt, Rui Castro, Robert Nowak, Gerald Fudge, and Alex Yeh, Compressive sampling for signal classification. (Proc. Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, California, October 2006)
Sami Kirolos, Jason Laska, Michael Wakin, Marco Duarte, Dror Baron, Tamer Ragheb, Yehia Massoud, and Richard Baraniuk, Analog-to-information conversion via random demodulation. (Proc. IEEE Dallas Circuits and Systems Workshop (DCAS), Dallas, Texas, 2006)
Jason Laska, Sami Kirolos, Yehia Massoud, Richard Baraniuk, Anna Gilbert, Mark Iwen, and Martin Strauss, Random sampling for analog-to-information conversion of wideband signals. (Proc. IEEE Dallas Circuits and Systems Workshop (DCAS), Dallas, Texas, 2006)
Anna Gilbert, Martin Strauss, Joel Tropp, and Roman Vershynin, Algorithmic linear dimension reduction in the ell-1 norm for sparse vectors. (Preprint, 2006) [See also related conference publication: Allerton 2006]
Emmanuel Candès and Paige Randall, Highly robust error correction by convex programming. (Preprint, 2006)
Shriram Sarvotham, Dror Baron, and Richard Baraniuk, Measurements vs. bits: Compressed sensing meets information theory. (Proc. Allerton Conference on Communication, Control, and Computing, Monticello, IL, September 2006)
Martin J. Wainwright, Sharp thresholds for high-dimensional and noisy recovery of sparsity (Proc. Allerton Conference on Communication, Control, and Computing, Monticello, IL, September 2006)
David Donoho and Yaakov Tsaig, Fast solution of ell-1-norm minimization problems when the solution may be sparse. (Stanford University Department of Statistics Technical Report 2006-18, 2006)
Albert Cohen, Wolfgang Dahmen, and Ronald DeVore, Compressed sensing and best k-term approximation. (Preprint, 2006) [Formerly titled "Remarks on compressed sensing"]
Shriram Sarvotham, Dror Baron, and Richard Baraniuk, Compressed sensing reconstruction via belief propagation. (Rice ECE Department Technical Report TREE 0601, 2006)
Richard Baraniuk and Michael Wakin, Random projections of smooth manifolds. (To appear in Foundations of Computational Mathematics) [See also related conference publication: ICASSP 2006]
Shriram Sarvotham, Dror Baron, and Richard Baraniuk, Sudocodes - Fast measurement and reconstruction of sparse signals. (Proc. IEEE Int. Symposium on Information Theory (ISIT), Seattle, Washington, July 2006)
Nitin Thaper, Sudipto Guha, Piotr Indyk, and Nick Koudas, Dynamic multidimensional histograms. (Proc. SIGMOD 2002, Madison, Wisconson, June 2002)
Anna Gilbert, Sudipto Guha, Piotr Indyk, Yannis Kotidis, S. Muthukrishnan, and Martin J. Strauss, Fast small-space algorithms for approximate histogram maintenance. (Proc. 34th Symposium on Theory of Computing, Montréal, Canada, May 2002)
Richard Baraniuk, Mark Davenport, Ronald DeVore, and Michael Wakin, A simple proof of the restricted isometry property for random matrices. (Constructive Approximation, 28(3), pp. 253-263, December 2008) [Formerly titled "The Johnson-Lindenstrauss lemma meets compressed sensing"]
David Donoho and Jared Tanner, Counting faces of randomly-projected polytopes when the projection radically lowers dimension. (Journal of the AMS, 22(1), pp. 1-53, January 2009)
Marco Duarte, Mark Davenport, Michael Wakin, and Richard Baraniuk, Sparse signal detection from incoherent projections. (Proc. IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP), Toulouse, France, May 2006)
Joel Tropp, Michael Wakin, Marco Duarte, Dror Baron, and Richard Baraniuk, Random filters for compressive sampling and reconstruction. (Proc. IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP), Toulouse, France, May 2006)
M. Lustig, J. M. Santos, D. L. Donoho, and J. M. Pauly, k-t SPARSE: High frame rate dynamic MRI exploiting spatio-temporal sparsity (Proc. 14th. Annual Meeting of ISMRM, Seattle, Washington, May 2006)
Michael Wakin, Jason Laska, Marco Duarte, Dror Baron, Shriram Sarvotham, Dharmpal Takhar, Kevin Kelly, and Richard Baraniuk, Compressive imaging for video representation and coding. (Proc. Picture Coding Symposium (PCS), Beijing, China, April 2006)
Emmanuel Candès and Justin Romberg, Encoding the ell-p ball from limited measurements. (Proc. IEEE Data Compression Conference (DCC), Snowbird, UT, 2006)
Waheed Bajwa, Jarvis Haupt, Akbar Sayeed, and Rob Nowak, Compressive wireless sensing. (Proc. Int. Conf. on Information Processing in Sensor Networks (IPSN), Nashville, Tennessee, April 2006)
Michael Rabbat, Jarvis Haupt, Aarti Singh, and Rob Nowak, Decentralized compression and predistribution via randomized gossiping. (Proc. Int. Conf. on Information Processing in Sensor Networks (IPSN), Nashville, Tennessee, April 2006)
David Donoho and Jared Tanner, Thresholds for the recovery of sparse solutions via ell-1 minimization. (Proc. Conf. on Information Sciences and Systems, March 2006)
Gabriel Peyré, Best basis compressed sensing. (IEEE Transactions on Signal Processing, Vol. 58(5), p.2613-2622 , 2010) [See also related conference publication: NeuroComp 2006]
Emmanuel Candès and Terence Tao, The Dantzig Selector: Statistical estimation when p is much larger than n (To appear in Annals of Statistics)
Dharmpal Takhar, Jason Laska, Michael Wakin, Marco Duarte, Dror Baron, Shriram Sarvotham, Kevin Kelly, and Richard Baraniuk, A new compressive imaging camera architecture using optical-domain compression. (Proc. of Computational Imaging IV at SPIE Electronic Imaging, San Jose, California, January 2006)
Anna Gilbert, Martin Strauss, Joel Tropp, and Roman Vershynin, Sublinear, Small-space approximation of compressible signals and uniform algorithmic embeddings. (Preprint, 2005) [See Vershynin's discussion of this paper here]
Graham Cormode and S. Muthukrishnan, Combinatorial algorithms for compressed sensing. (Technical Report DIMACS TR 2005-40, 2005)
Dror Baron, Marco F. Duarte, Michael B. Wakin, Shriram Sarvotham, and Richard G. Baraniuk, Distributed compressive sensing. (Preprint, 2005) [See also related technical report and conference publications: Allerton 2005, Asilomar 2005, NIPS 2005, IPSN 2006]
Marco Duarte, Fast reconstruction from random incoherent projections. (Rice ECE Department Technical Report TREE 0507, May 2005)
Marco Duarte, Michael Wakin, and Richard Baraniuk, Fast reconstruction of piecewise smooth signals from random projections. (Proc. SPARS Workshop, November 2005)
Chinh La and Minh Do, Signal reconstruction using sparse tree representations. (Proc. SPIE Wavelets XI, San Diego, California, September 2005)
Anna Gilbert, S. Muthukrishnan, and M. Strauss, Improved time bounds for near-optimal sparse Fourier representation via sampling. (Proc. SPIE Wavelets XI, San Diego, California, September 2005)
Graham Cormode and S. Muthukrishnan, Towards an algorithmic theory of compressed sensing. (Technical Peport DIMACS TR 2005-25, 2005)
Joel Tropp and Anna Gilbert, Signal recovery from random measurements via orthogonal matching pursuit. (IEEE Trans. on Information Theory, 53(12) pp. 4655-4666, December 2007)
David Donoho and Jared Tanner, Neighborliness of randomly-projected simplices in high dimensions. (Proc. National Academy of Sciences, 102(27), pp. 9452-9457, 2005)
David Donoho, Neighborly polytopes and sparse solutions of undetermined linear equations. (Preprint, 2005)
David Donoho, High-dimensional centrally-symmetric polytopes with neighborliness proportional to dimension. (Disc. Comput. Geometry, 35(4) pp. 617-652, 2006)
David Donoho and Jared Tanner, Sparse nonnegative solutions of underdetermined linear equations by linear programming. (Proc. National Academy of Sciences, 102(27), pp.9446-9451, 2005)
Yue Lu and Minh Do, A geometrical approach to sampling signals with finite rate of innovation. (Proc. IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP), Montreal, Canada, May 2004)
Irena Maravic and Martin Vetterli, Sampling and reconstruction of signals with finite rate of innovation in the presence of noise. (IEEE Trans. on Signal Processing, 53(8), pp. 2788-2805, August 2005)
Martin Vetterli, Pina Marziliano, and Thierry Blu, Sampling signals with finite rate of innovation. (IEEE Trans. on Signal Processing, 50(6), pp. 1417-1428, June 2002)
Jarvis Haupt and Rob Nowak, Signal reconstruction from noisy random projections. (IEEE Trans. on Information Theory, 52(9), pp. 4036-4048, September 2006)
Emmanuel Candès, Justin Romberg, and Terence Tao, Stable signal recovery from incomplete and inaccurate measurements. (Communications on Pure and Applied Mathematics, 59(8), pp. 1207-1223, August 2006)
Mark Rudelson and Roman Vershynin, Geometric approach to error correcting codes and reconstruction of signals. (International Mathematical Research Notices, 64, pp. 4019 - 4041, 2005)
Emmanuel Candès and Terence Tao, Error correction via linear programming. (Preprint, 2005)
Emmanuel Candès and Terence Tao, Decoding by linear programming. (IEEE Trans. on Information Theory, 51(12), pp. 4203 - 4215, December 2005)
David Donoho, For most large underdetermined systems of linear equations, the minimal ell-1 norm near-solution approximates the sparsest near-solution. (Communications on Pure and Applied Mathematics, 59(7), pp. 907-934, July 2006)
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