Sparse Signal Reconstruction–Introduction
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[1] E. Candès. The restricted isometry property and its implications for compressed sensing , 2008 .
[2] I. Daubechies,et al. An iterative thresholding algorithm for linear inverse problems with a sparsity constraint , 2003, math/0307152.
[3] R.G. Baraniuk,et al. Compressive Sensing [Lecture Notes] , 2007, IEEE Signal Processing Magazine.
[4] Joel A. Tropp,et al. Signal Recovery From Random Measurements Via Orthogonal Matching Pursuit , 2007, IEEE Transactions on Information Theory.
[5] M. Fornasier,et al. Iterative thresholding algorithms , 2008 .
[6] Deanna Needell,et al. CoSaMP: Iterative signal recovery from incomplete and inaccurate samples , 2008, ArXiv.
[7] Stéphane Mallat,et al. Matching pursuits with time-frequency dictionaries , 1993, IEEE Trans. Signal Process..
[8] Mário A. T. Figueiredo,et al. Gradient Projection for Sparse Reconstruction: Application to Compressed Sensing and Other Inverse Problems , 2007, IEEE Journal of Selected Topics in Signal Processing.
[9] Emmanuel J. Candès,et al. Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information , 2004, IEEE Transactions on Information Theory.
[10] Michael Elad,et al. Sparse and Redundant Representations - From Theory to Applications in Signal and Image Processing , 2010 .
[11] Ljubiša Stanković,et al. Adaptive Variable Step Algorithm for Missing Samples Recovery in Sparse Signals , 2013, IET Signal Process..
[12] Srdjan Stankovic,et al. Missing samples analysis in signals for applications to L-estimation and compressive sensing , 2014, Signal Process..
[13] Lawrence Carin,et al. Bayesian Compressive Sensing , 2008, IEEE Transactions on Signal Processing.
[14] Moeness G. Amin,et al. Compressive sensing for urban radar , 2014 .
[15] LJubisa Stankovic,et al. A measure of some time-frequency distributions concentration , 2001, Signal Process..
[16] R. Tibshirani,et al. Sparsity and smoothness via the fused lasso , 2005 .
[17] E.J. Candes,et al. An Introduction To Compressive Sampling , 2008, IEEE Signal Processing Magazine.