Sparse recovery with quantized multiple measurement vectors
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[1] Richard G. Baraniuk,et al. 1-Bit compressive sensing , 2008, 2008 42nd Annual Conference on Information Sciences and Systems.
[2] Bhaskar D. Rao,et al. Sparse solutions to linear inverse problems with multiple measurement vectors , 2005, IEEE Transactions on Signal Processing.
[3] Laurent Jacques,et al. Robust 1-Bit Compressive Sensing via Binary Stable Embeddings of Sparse Vectors , 2011, IEEE Transactions on Information Theory.
[4] Christopher M. Bishop,et al. Variational Relevance Vector Machines , 2000, UAI.
[5] Cishen Zhang,et al. Variational Bayesian Algorithm for Quantized Compressed Sensing , 2012, IEEE Transactions on Signal Processing.
[6] Stephen P. Boyd,et al. Compressed Sensing With Quantized Measurements , 2010, IEEE Signal Processing Letters.
[7] Bhaskar D. Rao,et al. Sparse Bayesian learning for basis selection , 2004, IEEE Transactions on Signal Processing.
[8] Sundeep Rangan,et al. Message-Passing De-Quantization With Applications to Compressed Sensing , 2012, IEEE Transactions on Signal Processing.
[9] Charles M. Bishop,et al. Variational Message Passing , 2005, J. Mach. Learn. Res..
[10] Yaniv Plan,et al. Robust 1-bit Compressed Sensing and Sparse Logistic Regression: A Convex Programming Approach , 2012, IEEE Transactions on Information Theory.
[11] J. V. Vleck,et al. The spectrum of clipped noise , 1966 .
[12] Sung-En Chiu,et al. Bayesian Channel Estimation Algorithms for Massive MIMO Systems With Hybrid Analog-Digital Processing and Low-Resolution ADCs , 2018, IEEE Journal of Selected Topics in Signal Processing.
[13] E.J. Candes,et al. An Introduction To Compressive Sampling , 2008, IEEE Signal Processing Magazine.
[14] George Eastman House,et al. Sparse Bayesian Learning and the Relevan e Ve tor Ma hine , 2001 .
[15] Michael Elad,et al. Sparse and Redundant Representations - From Theory to Applications in Signal and Image Processing , 2010 .
[16] Joel A. Tropp,et al. Algorithms for simultaneous sparse approximation. Part I: Greedy pursuit , 2006, Signal Process..
[17] Bhaskar D. Rao,et al. An Empirical Bayesian Strategy for Solving the Simultaneous Sparse Approximation Problem , 2007, IEEE Transactions on Signal Processing.
[18] Bhaskar D. Rao,et al. Joint dictionary learning and recovery algorithms in a jointly sparse framework , 2015, 2015 49th Asilomar Conference on Signals, Systems and Computers.
[19] P. P. Vaidyanathan,et al. Pushing the Limits of Sparse Support Recovery Using Correlation Information , 2015, IEEE Transactions on Signal Processing.
[20] Ozgur Balkan,et al. Localization of More Sources Than Sensors via Jointly-Sparse Bayesian Learning , 2014, IEEE Signal Processing Letters.
[21] Bhaskar D. Rao,et al. Sparse Signal Recovery With Temporally Correlated Source Vectors Using Sparse Bayesian Learning , 2011, IEEE Journal of Selected Topics in Signal Processing.
[22] Emmanuel J. Candès,et al. Near-Optimal Signal Recovery From Random Projections: Universal Encoding Strategies? , 2004, IEEE Transactions on Information Theory.
[23] Matthew J. Beal. Variational algorithms for approximate Bayesian inference , 2003 .
[24] Dong In Kim,et al. Compressed Sensing for Wireless Communications: Useful Tips and Tricks , 2015, IEEE Communications Surveys & Tutorials.
[25] P. P. Vaidyanathan,et al. One-bit sparse array DOA estimation , 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).