Optimal Quantization for Sparse Reconstruction with Relaxed Belief Propagation
暂无分享,去创建一个
[1] Vivek K. Goyal,et al. Optimal quantization of random measurements in compressed sensing , 2009, 2009 IEEE International Symposium on Information Theory.
[2] Rudiger Urbanke,et al. Fixed Points and Stability of Density Evolution , 2004, Commun. Inf. Syst..
[3] Stephen J. Wright,et al. Computational Methods for Sparse Solution of Linear Inverse Problems , 2010, Proceedings of the IEEE.
[4] Sundeep Rangan,et al. Asymptotic Analysis of MAP Estimation via the Replica Method and Compressed Sensing , 2009, NIPS.
[5] David L Donoho,et al. Compressed sensing , 2006, IEEE Transactions on Information Theory.
[6] Emmanuel J. Candès,et al. Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information , 2004, IEEE Transactions on Information Theory.
[7] Dongning Guo,et al. Asymptotic Mean-Square Optimality of Belief Propagation for Sparse Linear Systems , 2006, 2006 IEEE Information Theory Workshop - ITW '06 Chengdu.
[8] Richard G. Baraniuk,et al. Bayesian Compressive Sensing Via Belief Propagation , 2008, IEEE Transactions on Signal Processing.
[9] Arian Maleki,et al. Optimally Tuned Iterative Reconstruction Algorithms for Compressed Sensing , 2009, IEEE Journal of Selected Topics in Signal Processing.
[10] Rüdiger L. Urbanke,et al. The capacity of low-density parity-check codes under message-passing decoding , 2001, IEEE Trans. Inf. Theory.
[11] Andrea Montanari,et al. The dynamics of message passing on dense graphs, with applications to compressed sensing , 2010, 2010 IEEE International Symposium on Information Theory.
[12] William T. Freeman,et al. Understanding belief propagation and its generalizations , 2003 .
[13] Stephen P. Boyd,et al. Compressed Sensing With Quantized Measurements , 2010, IEEE Signal Processing Letters.
[14] V.K. Goyal,et al. Compressive Sampling and Lossy Compression , 2008, IEEE Signal Processing Magazine.
[15] Sundeep Rangan,et al. Estimation with random linear mixing, belief propagation and compressed sensing , 2010, 2010 44th Annual Conference on Information Sciences and Systems (CISS).
[16] Ruby J Pai. Nonadaptive lossy encoding of sparse signals , 2006 .
[17] Andrea Montanari,et al. Message-passing algorithms for compressed sensing , 2009, Proceedings of the National Academy of Sciences.
[18] Emmanuel J. Candès,et al. Encoding the /spl lscr//sub p/ ball from limited measurements , 2006, Data Compression Conference (DCC'06).
[19] Sundeep Rangan,et al. Asymptotic Analysis of MAP Estimation via the Replica Method and Applications to Compressed Sensing , 2009, IEEE Transactions on Information Theory.
[20] R. Tibshirani. Regression Shrinkage and Selection via the Lasso , 1996 .
[21] Sundeep Rangan,et al. Generalized approximate message passing for estimation with random linear mixing , 2010, 2011 IEEE International Symposium on Information Theory Proceedings.
[22] Olgica Milenkovic,et al. A comparative study of quantized compressive sensing schemes , 2009, 2009 IEEE International Symposium on Information Theory.
[23] Emmanuel J. Candès,et al. Decoding by linear programming , 2005, IEEE Transactions on Information Theory.
[24] Frank Wolter,et al. Exploring Artificial Intelligence in the New Millenium , 2002 .