DONOHO D L. Compressed Sensing [J]. IEEE Transactions on Information Theory, 2006, 52(4): 1289-1306.
CANDES E J, WAKIN M B. An Introduction to Compressive Sampling [J]. IEEE Signal Processing Magazine, 2008, 25(2): 21-30.
LUSTIG M, DONOHO D, PAULY J M. Sparse MRI: The Application of Compressed Sensing for Rapid MR Imaging [J]. Magnetic Resonance in Medicine, 2007, 58(6): 1182-1195.
WRIGHT J, YANG A Y, GANESH A, et al. Robust Face Recognition via Sparse Representation [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2009, 31(2): 210-227.
DUARTE M F, DAVENPORT M A, TAKHAR D, et al. Single-Pixel Imaging via Compressive Sampling [J]. IEEE Signal Processing Magazine, 2008, 25(2): 83-91.
刘春燕, 张静, 王建军.冗余字典的扰动压缩数据分离[J].西南大学学报(自然科学版), 2015(9): 150-156.
刘春燕, 王建军, 王文东, 等.基于非凸极小化的扰动压缩数据分离[J].电子学报, 2017, 45(1): 37-45.
AMALDI E, KANN V. On the Approximability of Minimizing Nonzero Variables or Unsatisfied Relations in Linear Systems [J]. Theoretical Computer Science, 1998, 209(1-2): 237-260.
HERMAN M A, STROHMER T. General Deviants: an Analysis of Perturbations in Compressed Sensing [J]. IEEE Journal of Selected Topics in Signal Processing, 2010, 4(2): 342-349.
LIU C Y, WANG J J, WANG W D, et al. Non-Convex Block-Sparse Compressed Sensing with Redundant Dictionaries [J]. IET Signal Processing, 2017, 11(2): 171-180.
PARVARESH F, VIKALO H, MISRA S, et al. Recovering Sparse Signals Using Sparse Measurement Matrices in Compressed DNA Microarrays [J]. IEEE Journal of Selected Topics in Signal Processing, 2008, 2(3): 275-285.
MAJUMDAR A, WARD R K. Compressed Sensing of Color Images [J]. Signal Processing, 2010, 90(12): 3122-3127.
MALIOUTOV D, CETIN M, WILLSKY A S. A Sparse Signal Reconstruction Perspective for Source Localization with Sensor Arrays [J]. IEEE Transactions on Signal Processing, 2005, 53(8): 3010-3022.
刘春燕, 李川, 邱伟.基于冗余字典的扰动OMP算法研究[J].河南教育学院学报(自然科学版), 2019, 28(4): 12-16, 39.
WANG J J, ZHANG J, WANG W D, et al. A Perturbation Analysis of Nonconvex Block-Sparse Compressed Sensing [J]. Communications in Nonlinear Science and Numerical Simulation, 2015, 29(1-3): 416-426.
FOUCART S, LAI M J. Sparsest Solutions of Underdetermined Linear Systems via $\ell $ q-Minimization for 0 <q≤1[J]. Applied and Computational Harmonic Analysis, 2009, 26(3): 395-407.
FOUCART S. A Note on Guaranteed Sparse Recovery via $\ell $1-minimization [J]. Applied and Computational Harmonic Analysis, 2010, 29(1): 97-103.
CAI T T, ZHANG A R. Sparse Representation of a Polytope and Recovery of Sparse Signals and Low-Rank Matrices [J]. IEEE Transactions on Information Theory, 2014, 60(1): 122-132.
张贤达.矩阵分析与应用[M].北京:清华大学出版社, 2004.
CHANG L H, WU J Y. An Improved RIP-Based Performance Guarantee for Sparse Signal Recovery via Orthogonal Matching Pursuit[J]. IEEE Transactions on Information Theory, 2014, 60(9): 5702-5715.
MO Q. A Sharp Restricted Isometry Constant Bound of Orthogonal Matching Pursuit[EB/OL]. (2015-01-08)[2018-05-06]. https://arxiv.org/abs/1501.01708.
WEN J M, ZHOU Z C, LIU Z L, et al. Sharp Sufficient Conditions for Stable Recovery of Block Sparse Signals by Block Orthogonal Matching Pursuit [J]. Applied and Computational Harmonic Analysis, 2019, 47(3): 948-974.