[1] Natarajan B K. Sparse approximation Solutions to linear systems[J]. SIAM Journal on Computing, 1995, 24(2):227-234[2] Candès E J, Romberg J K and Tao T. Stable signal recovery from incomplete and inaccurate measurements[J]. Communications on Pure and Applied Mathematics, 2005, 19(5):410-412[3] Donoho D L. Compressed Sensing[J]. IEEE Transactions on Information Theory, 2006, 52(4):1289-1306[4] Donoho D L. High-Dimensional Centrally Symmetric Polytopes with Neighborliness Proportional to Dimension[J]. Discrete and Computational Geometry, 2006, 35(4):617-652[5] Tropp J A, Gilbert A C. Signal Recovery From Random Measurements Via Orthogonal Matching Pursuit[J]. IEEE Transactions on Information Theory, 2008, 53(12):4655-4666[6] Needell D, Tropp J A. CoSaMP:Iterative signal recovery from incomplete and inaccurate samples[J]. Applied and Computational Harmonic Analysis, 2008, 26(3):301-321[7] Wang J, Kwon S, Shim B. Generalized Orthogonal Matching Pursuit[J]. IEEE Transactions on Signal Processing, 2011, 60(12):6202-6216[8] Blumensath T, Davies M E. Iterative hard thresholding for compressed sensing[J]. Applied and Computational Harmonic Analysis, 2009, 27(3):265-274[9] Donoho D L. Denoising by soft-thresholding[J]. IEEE Transactions on Information Theory, 1994, 41(3):613-627[10] Yin W, Osher S, Goldfarb D, et al. Bregman iterative algorithms for L1-minimization with applications to compressed sensing. SIAM J Imaging Sci 1:143-168[J]. Siam Journal on Imaging Sciences, 2008, 1(1):143-168[11] Yin W, Osher S. Error Forgetting of Bregman Iteration[J]. Journal of Scientific Computing, 2013, 54(2-3):684-695[12] Foucart S. Hard thresholding pursuit:an algorithm for compressive sensing[J]. Siam Journal on Numerical Analysis, 2011, 49(6):2543-2563.[13] Bouchot J L, Foucart S, Hitczenko P. Hard thresholding Pursuit Algorithms:Number of Iterations[J]. Applied and Computational Harmonic Analysis, To appear[14] Li H, Fu Y, Zhang Q, et al. A Generalized Hard Thresholding Pursuit Algorithm[J]. Circuits Systems and Signal Processing, 2014, 33(4):1313-1323[15] 李娟, 李维国, 郑昭静. 求解稀疏最小二乘问题的新型Bregman迭代正则化算法[J]. 信号处理, 2012, 28(8):1164-1170[16] Moriya K, Nodera T. A new scheme of computing the approximate inverse preconditioner for the reduced linear systems[J]. Journal of Computational and Applied Mathematics, 2007, 199(2):345-352 |