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CoSaMP: Iterative signal recovery from incomplete and inaccurate samples
Deanna Needell, Joel A. Tropp
University of California, Davis California Institute of Technology
来源Applied and Computational Harmonic Analysis
年份2008
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学术脉络
学科主题
工程Sparse and Compressive Sensing Techniques
Mathematical Analysis and Transform Methods · Numerical methods in inverse problems
参考文献 38
Subspace Pursuit for Compressive Sensing: Closing the Gap Between Performance and Complexity
被引 192Wei Dai, Olgica Milenković · 2008
Interior-Point Polynomial Algorithms in Convex Programming
被引 4,391Yurii E. Nesterov, Arkadi S. Nemirovski · Society for Industrial and Applied Mathematics eBooks · 1994
Algorithmic linear dimension reduction in the l_1 norm for sparse vectors
被引 125Anna C. Gilbert, Martin J. Strauss, Joel A. Tropp · arXiv (Cornell University) · 2006
此处列出前 3 条
引用本文 4,438
Message-passing algorithms for compressed sensing
被引 2,514David L. Donoho, Arian Maleki, Andrea Montanari A · Proceedings of the National Academy of Sciences · 2009
Subspace Pursuit for Compressive Sensing Signal Reconstruction
被引 2,420Wei Dai, Olgica Milenković · IEEE Transactions on Information Theory · 2009
Iterative hard thresholding for compressed sensing
被引 2,349Thomas Blumensath, Mike E. Davies · Applied and Computational Harmonic Analysis · 2009
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