[1] Donoho D L.Compressed sensing [J].IEEE Transactions on Information Theory,2006,52(4):5406-5425. [2] Candès E,Romberg J,Tao T.Robust uncertainty principles:Exact signal reconstruction from highly incomplete frequency information [J].IEEE Transactions on Information Theory,2006,52(2):489-509. [3] 焦李成,杨淑媛,等.压缩感知回顾与展望 [J].电子学报,2011,7(7):1651-1662.JIAO Li-cheng,YANG Shu-yuan,et al.Development and prospect of compressive sensing [J].Acta Electronica Sinica,2011,7(7):1651-1662.(in Chinese) [4] Candès E J,Tao T.Decoding by linear programming [J].IEEE Transactions on Information Theory,2005,51(12):4203-4215. [5] Devore R A.Deterministic construction of compressed sensing matrices [J].Journal of Complexity,2007,23(4-6):918-925. [6] Ni K,Datta S,et al.Efficient deterministic compressed sensing for images with chirps and reed-muller codes [J].SIAM Journal on Imaging Sciences,2011,4(3):931-953. [7] Elad M.Optimized projections for compressed sensing [J].IEEE Transactions on Signal Processing,2007,55(12):5695-5702. [8] Duarte-Carvajalino J M,Sapiro G.Learning to sense sparse signals:Simultaneous sensing matrix and sparsifying dictionary optimization [J].IEEE Transactions on Image Processing,2009,18(7):1395-1408. [9] Abolghasemi V,Ferdowsi S,Sanei S.A gradient-based alternating minimization approach for optimization of the measurement matrix in compressive sensing [J].Signal Processing,2012,92(3):999-1009. [10] Tropp J A.Greed is good:Algorithmic results for sparse approximation [J].IEEE Transactions on Information Theory,2004,50(10):2231-2242. [11] Rauhut H,Schnass K,Vandergheynst P.Compressed sensing and redundant dictionaries [J].IEEE Transactions on Information Theory,2008,54(5):2210-2219. [12] 杨海蓉,张成,等.压缩传感理论与重构算法[J].电子学报,2011,39(1):142-148.YANG Hai-rong,ZHANG Cheng,et al.The theory of compressed sensing and reconstruction algorithm [J].Acta Electronica Sinica,2011,39(1):142-148.(in Chinese) [13] Chen B S,Donoho D L,Saunders M A.Atomic decomposition by basis pursuit [J].SIAM Journal on Scientific Computing,1998,20(1):33-61. [14] Tropp J A,Gilbert A C.Signal recovery from random measurements via orthogonal matching pursuit [J].IEEE Transactions on Information Theory,2007,53(12):4655-4666. [15] Dai W,Milenkovic O.Subspace pursuit for compressive sensing signal reconstruction [J].IEEE Transactions on Information Theory,2009,55(5):2230-2249. [16] 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. [17] Blumensath T,Davies M E.Iterative hard thresholding for compressed sensing [J].Applied and Computational Harmonic Analysis,2009,27(3):265-274. [18] 杨海蓉,方红,等.基于回溯的迭代硬阈值算法[J].自动化学报,2011,37(3):276-282.YANG Hai-Rong,FANG Hong,et al.Iterative hard thresholding algorithm based on backtracking [J].Acta Automatica Sinica,2011,37(3):276-282.(in Chinese) [19] 付宁,乔立岩,等.面向压缩感知的块稀疏度自适应迭代算法[J].电子学报,2011,39(3A):75-79.FU Ning,QIAO Li-yan,et al.Block sparsity adaptive iteration algorithm for compressed sensing [J].Acta Electronica Sinica,2011,39(3A):75-79.(in Chinese) [20] 李志林,陈后金,等.一种有效的压缩感知图像重建算法[J].电子学报,2011,39(12):2796-2800.LI Zhi-lin,CHEN Hou-jin,et al.An efficient algorithm for compressed sensing image reconstruction [J].Acta Electronica Sinica,2011,39(12):2796-2800.(in Chinese) [21] Schnass K,Vandergheynst P.Dictionary preconditioning for greedy algorithms [J].IEEE Transactions on Signal Processing,2008,56(5):1994-2002. [22] Li B,Shen Y,Li J.Dictionaries construction using alternating projection method in compressive sensing [J].IEEE Signal Processing Letter,2011,18(11):663-666. |