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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Bibliographic Details

Published in:	Neurocomputing (Amsterdam) Vol. 275; pp. 137 - 143
Main Authors:	Wang, Qian, Qu, Gangrong
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 31.01.2018
Subjects:	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
Online Access:	Get full text
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