Joint sparsity recovery for spectral compressed sensing
暂无分享,去创建一个
[1] Yonina C. Eldar,et al. Rank Awareness in Joint Sparse Recovery , 2010, IEEE Transactions on Information Theory.
[2] Stephen P. Boyd,et al. Disciplined Convex Programming , 2006 .
[3] Yingbo Hua. Estimating two-dimensional frequencies by matrix enhancement and matrix pencil , 1992, IEEE Trans. Signal Process..
[4] Emmanuel J. Cand. Towards a Mathematical Theory of Super-Resolution , 2012 .
[5] Yuejie Chi,et al. Analysis of fisher information and the Cramer-Rao bound for nonlinear parameter estimation after compressed sensing , 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.
[6] Joel A. Tropp,et al. ALGORITHMS FOR SIMULTANEOUS SPARSE APPROXIMATION , 2006 .
[7] Emmanuel J. Candès,et al. Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information , 2004, IEEE Transactions on Information Theory.
[8] E. Candès,et al. Sparsity and incoherence in compressive sampling , 2006, math/0611957.
[9] Yuxin Chen,et al. Compressive recovery of 2-D off-grid frequencies , 2013, 2013 Asilomar Conference on Signals, Systems and Computers.
[10] Wenjing Liao,et al. Coherence Pattern-Guided Compressive Sensing with Unresolved Grids , 2011, SIAM J. Imaging Sci..
[11] Pablo A. Parrilo,et al. The Convex Geometry of Linear Inverse Problems , 2010, Foundations of Computational Mathematics.
[12] Emmanuel J. Candès,et al. Towards a Mathematical Theory of Super‐resolution , 2012, ArXiv.
[13] David L Donoho,et al. Compressed sensing , 2006, IEEE Transactions on Information Theory.
[14] Edwin K. P. Chong,et al. Sensitivity considerations in compressed sensing , 2011, 2011 Conference Record of the Forty Fifth Asilomar Conference on Signals, Systems and Computers (ASILOMAR).
[15] Yonina C. Eldar,et al. Reduce and Boost: Recovering Arbitrary Sets of Jointly Sparse Vectors , 2008, IEEE Transactions on Signal Processing.
[16] Stephen P. Boyd,et al. Convex Optimization , 2004, Algorithms and Theory of Computation Handbook.
[17] P. P. Vaidyanathan,et al. Correlation-aware techniques for sparse support recovery , 2012, 2012 IEEE Statistical Signal Processing Workshop (SSP).
[18] Yuxin Chen,et al. Spectral Compressed Sensing via Structured Matrix Completion , 2013, ICML.
[19] Yuxin Chen,et al. Robust Spectral Compressed Sensing via Structured Matrix Completion , 2013, IEEE Transactions on Information Theory.
[20] Parikshit Shah,et al. Compressed Sensing Off the Grid , 2012, IEEE Transactions on Information Theory.
[21] A. Robert Calderbank,et al. Sensitivity to Basis Mismatch in Compressed Sensing , 2011, IEEE Trans. Signal Process..
[22] Cishen Zhang,et al. Off-Grid Direction of Arrival Estimation Using Sparse Bayesian Inference , 2011, IEEE Transactions on Signal Processing.
[23] J. Tropp. Algorithms for simultaneous sparse approximation. Part II: Convex relaxation , 2006, Signal Process..
[24] D. Donoho,et al. Sparse nonnegative solution of underdetermined linear equations by linear programming. , 2005, Proceedings of the National Academy of Sciences of the United States of America.
[25] Yoram Bresler,et al. Subspace Methods for Joint Sparse Recovery , 2010, IEEE Transactions on Information Theory.
[26] Joel A. Tropp,et al. Algorithms for simultaneous sparse approximation. Part I: Greedy pursuit , 2006, Signal Process..
[27] Jong Chul Ye,et al. Compressive MUSIC: Revisiting the Link Between Compressive Sensing and Array Signal Processing , 2012, IEEE Trans. Inf. Theory.
[28] Jong Chul Ye,et al. Compressive MUSIC: Revisiting the Link Between Compressive Sensing and Array Signal Processing , 2012, IEEE Transactions on Information Theory.
[29] E. Candès,et al. Inverse Problems Sparsity and incoherence in compressive sampling , 2007 .
[30] Conference Record of the Forty Fifth Asilomar Conference on Signals, Systems and Computers, ACSCC 2011, Pacific Grove, CA, USA, November 6-9, 2011 , 2011, ACSCC.
[31] C. Carathéodory,et al. Über den zusammenhang der extremen von harmonischen funktionen mit ihren koeffizienten und über den picard-landau’schen satz , 1911 .