Blind Compressed SensingGLEICHMAN, Sivan; ELDAR, Yonina C.IEEE transactions on information theory. 2011, Vol 57, Num 10, pp 6958-6975, issn 0018-9448, 18 p.Article

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Rank related properties for Basis Pursuit and total variation regularizationMALGOUYRES, F.Signal processing. 2007, Vol 87, Num 11, pp 2695-2707, issn 0165-1684, 13 p.Article

On the stability of the basis pursuit in the presence of noiseDONOHO, David L; ELAD, Michael.Signal processing. 2006, Vol 86, Num 3, pp 511-532, issn 0165-1684, 22 p.Article

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Recovery of short, complex linear combinations via ₁minimizationTROPP, Joel A.IEEE transactions on information theory. 2005, Vol 51, Num 4, pp 1568-1570, issn 0018-9448, 3 p.Article

On the exponential convergence of matching pursuits in quasi-incoherent dictionariesGRIBONVAL, Rémi; VANDERGHEYNST, Pierre.IEEE transactions on information theory. 2006, Vol 52, Num 1, pp 255-261, issn 0018-9448, 7 p.Article

Comparing Measures of SparsityHURLEY, Niall; RICKARD, Scott.IEEE transactions on information theory. 2009, Vol 55, Num 10, pp 4723-4741, issn 0018-9448, 19 p.Article

A Frame Construction and a Universal Distortion Bound for Sparse RepresentationsAKGAKAYA, Mehmet; TAROKH, Vahid.IEEE transactions on signal processing. 2008, Vol 56, Num 6, pp 2443-2450, issn 1053-587X, 8 p.Article

Optimal sparse representations in general overcomplete basesMALIOUTOV, Dmitry M; CETIN, Müjdat; WILLSKY, Alan S et al.ICASSP. 2004, isbn 0-7803-8484-9, vol II, 793-796Conference Paper

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Beyond sparsity: The role of L₁-optimizer in pattern classificationJIAN YANG; LEI ZHANG; YONG XU et al.Pattern recognition. 2012, Vol 45, Num 3, pp 1104-1118, issn 0031-3203, 15 p.Article

Matching pursuit shrinkage in Hilbert spacesTIEYONG ZENG; MALGOUYRES, François.Signal processing. 2011, Vol 91, Num 12, pp 2754-2766, issn 0165-1684, 13 p.Article

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Image compression using an edge adapted redundant dictionary and waveletsPEOTTA, Lorenzo; GRANAI, Lorenzo; VANDERGHEYNST, Pierre et al.Signal processing. 2006, Vol 86, Num 3, pp 444-456, issn 0165-1684, 13 p.Article