An Improved RIP-Based Performance Guarantee for Sparse Signal Recovery via Orthogonal Matching Pursuit
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[1] Michael Elad,et al. Sparse and Redundant Representations - From Theory to Applications in Signal and Image Processing , 2010 .
[2] Ling-Hua Chang,et al. Achievable Angles Between Two Compressed Sparse Vectors Under Norm/Distance Constraints Imposed by the Restricted Isometry Property: A Plane Geometry Approach , 2012, IEEE Transactions on Information Theory.
[3] E.J. Candes,et al. An Introduction To Compressive Sampling , 2008, IEEE Signal Processing Magazine.
[4] Rémi Gribonval,et al. Restricted Isometry Constants Where $\ell ^{p}$ Sparse Recovery Can Fail for $0≪ p \leq 1$ , 2009, IEEE Transactions on Information Theory.
[5] Michael Elad,et al. Sparse and Redundant Representation Modeling—What Next? , 2012, IEEE Signal Processing Letters.
[6] Ling-Hua Chang,et al. Compressive-domain interference cancellation via orthogonal projection: How small the restricted isometry constant of the effective sensing matrix can be? , 2012, 2012 IEEE Wireless Communications and Networking Conference (WCNC).
[7] Jean-Luc Starck,et al. Sparse Solution of Underdetermined Systems of Linear Equations by Stagewise Orthogonal Matching Pursuit , 2012, IEEE Transactions on Information Theory.
[8] Aswin C. Sankaranarayanan,et al. Compressive Sensing , 2008, Computer Vision, A Reference Guide.
[9] R.G. Baraniuk,et al. Compressive Sensing [Lecture Notes] , 2007, IEEE Signal Processing Magazine.
[10] Emmanuel J. Cand. The Restricted Isometry Property and Its Implications for Compressed Sensing , 2008 .
[11] Ling-Hua Chang,et al. An Improved RIP-Based Performance Guarantee for Sparse Signal Recovery via Orthogonal Matching Pursuit , 2014, IEEE Trans. Inf. Theory.
[12] Michael Elad,et al. RIP-Based Near-Oracle Performance Guarantees for SP, CoSaMP, and IHT , 2012, IEEE Transactions on Signal Processing.
[13] Joel A. Tropp,et al. Signal Recovery From Random Measurements Via Orthogonal Matching Pursuit , 2007, IEEE Transactions on Information Theory.
[14] Richard Baraniuk,et al. Compressive Domain Interference Cancellation , 2009 .
[15] Yi Shen,et al. A Remark on the Restricted Isometry Property in Orthogonal Matching Pursuit , 2012, IEEE Transactions on Information Theory.
[16] Davies Rémi Gribonval. Restricted Isometry Constants Where Lp Sparse Recovery Can Fail for 0 , 2008 .
[17] H. Rauhut. On the Impossibility of Uniform Sparse Reconstruction using Greedy Methods , 2007 .
[18] E. Candès. The restricted isometry property and its implications for compressed sensing , 2008 .
[19] T. Blumensath,et al. Theory and Applications , 2011 .
[20] Michael B. Wakin,et al. Analysis of Orthogonal Matching Pursuit Using the Restricted Isometry Property , 2009, IEEE Transactions on Information Theory.
[21] Yonina C. Eldar,et al. Coherence-Based Performance Guarantees for Estimating a Sparse Vector Under Random Noise , 2009, IEEE Transactions on Signal Processing.
[22] Jian Wang,et al. On the Recovery Limit of Sparse Signals Using Orthogonal Matching Pursuit , 2012, IEEE Transactions on Signal Processing.
[23] Lie Wang,et al. Orthogonal Matching Pursuit for Sparse Signal Recovery With Noise , 2011, IEEE Transactions on Information Theory.
[24] Jubo Zhu,et al. Recovery of sparse signals using OMP and its variants: convergence analysis based on RIP , 2011 .
[25] Helmut Bölcskei,et al. Recovery of Sparsely Corrupted Signals , 2011, IEEE Transactions on Information Theory.
[26] Joel A. Tropp,et al. Greed is good: algorithmic results for sparse approximation , 2004, IEEE Transactions on Information Theory.
[27] Charles R. Johnson,et al. Matrix analysis , 1985, Statistical Inference for Engineers and Data Scientists.
[28] Wei Huang,et al. The Exact Support Recovery of Sparse Signals With Noise via Orthogonal Matching Pursuit , 2013, IEEE Signal Processing Letters.
[29] Holger Rauhut. Stability Results for Random Sampling of Sparse Trigonometric Polynomials , 2008, IEEE Transactions on Information Theory.
[30] Deanna Needell,et al. CoSaMP: Iterative signal recovery from incomplete and inaccurate samples , 2008, ArXiv.
[31] Olgica Milenkovic,et al. Subspace Pursuit for Compressive Sensing Signal Reconstruction , 2008, IEEE Transactions on Information Theory.
[32] Michael Elad,et al. Stable recovery of sparse overcomplete representations in the presence of noise , 2006, IEEE Transactions on Information Theory.
[33] Richard G. Baraniuk,et al. Signal Processing With Compressive Measurements , 2010, IEEE Journal of Selected Topics in Signal Processing.
[34] Tong Zhang,et al. Sparse Recovery With Orthogonal Matching Pursuit Under RIP , 2010, IEEE Transactions on Information Theory.