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1 X. T. Yuan, "Visual classification with multitask joint sparse representation" 21 (21): 4349-4360, 2012
2 K. Lee, "Subspace methods for joint sparse recovery" 58 (58): 3613-3641, 2012
3 S. F. Cotter, "Sparse channel estimation via matching pursuit with application to equalization" 50 (50): 374-377, 2002
4 J. A. Tropp, "Simultaneous sparse approximation via greedy pursuit" 2005
5 E. Candes, "Robust uncertainty principles : exact signal reconstruction from highly incomplete frequency information" 52 (52): 489-509, 2006
6 M. B. Wakin, "Recovery of jointly sparse signals from few random projections" 18 : 1435-1440, 2005
7 B. X. Huang, "Recovery of block sparse signals by a block version of StOMP" 106 : 231-244, 2015
8 F. Parvaresh, "Recovering sparse signals using sparse measurement matrices in compressed DNA microarrays" 2 (2): 275-285, 2008
9 L. Vidya, "RBF network based sparse signal recovery algorithm for compressed sensing reconstruction" 63 : 66-78, 2015
10 A. L. Goldberger, "PhysioBank, PhysioToolkit, and PhysioNet : components of a new research resource for complex physiologic signals" 101 (101): e215-e220, 2000
11 G. Coluccia, "Operational rate-distortion performance of single-source and distributed compressed sensing" 62 (62): 2022-2033, 2014
12 R. Qi, "On recovery of block sparse signals via block generalized orthogonal matching pursuit" 153 : 34-46, 2018
13 R. G. Baraniuk, "Model-based compressive sensing" 56 (56): 1982-2001, 2010
14 D. Sundman, "Greedy pursuits for compressed sensing of jointly sparse signals" 368-372, 2011
15 Y. Zhang, "Forward-backward pursuit method for distributed compressed sensing" 76 (76): 20587-20608, 2017
16 D. L. Donoho, "For most large underdetermined systems of linear equations the minimal l1-norm solution is also the sparsest solution" 59 (59): 797-829, 2006
17 M. F. Duarte, "Distributed compressed sensing of jointly sparse signals" 1537-1541, 2005
18 D. Baron, "Distributed compressed sensing"
19 L. Zelnik-Manor, "Dictionary optimization for block-sparse representations" 60 (60): 2386-2395, 2012
20 H. Palangi, "Convolutional deep stacking networks for distributed compressive sensing" 131 : 181-189, 2017
21 D. Needell, "CoSaMP : iterative signal recovery from incomplete and inaccurate samples" 26 (26): 301-321, 2009
22 Y. C. Eldar, "Block-sparse signals : Uncertainty relations and efficient recovery" 58 (58): 3042-3054, 2010
23 A. Kamali, "Block subspace pursuit for block-sparse signal reconstruction" 37 (37): 1-16, 2013
24 Rui Qi, "Block Sparse Signals Recovery via Block Backtracking- Based Matching Pursuit Method" 한국정보처리학회 13 (13): 360-369, 2017
25 Y. J. Zhang, "Backtracking-based matching pursuit method for distributed compressed sensing" 76 (76): 14691-14710, 2017
26 Y. C. Eldar, "Average case analysis of multichannel sparse recovery using convex relaxation" 56 (56): 505-519, 2010
27 Q. Wang, "A robust and efficient algorithm for distributed compressed sensing" 37 (37): 916-926, 2011
28 Y. Oktar, "A review of sparsity-based clustering methods" 148 : 20-30, 2018
29 X. Li, "A gradient-based approach to optimization of compressed sensing systems" 139 : 49-61, 2017