A new greedy algorithm for sparse recovery

Compressed sensing (CS) has been one of the great successes of applied mathematics in the last decade. This paper proposes a new method, combining the advantage of the Compressive Sampling Matching Pursuit (CoSaMP) algorithm and the Quasi–Newton Iteration Projection (QNIP) algorithm, for the recover...

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Vydané v:	Neurocomputing (Amsterdam) Ročník 275; s. 137 - 143
Hlavní autori:	Wang, Qian, Qu, Gangrong
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 31.01.2018
Predmet:	Compressed sensing Greedy algorithm Restricted isometry property Signal processing Sparse signal Sparse signal Signal processing Greedy algorithm Restricted isometry property Compressed sensing
ISSN:	0925-2312, 1872-8286
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