Alternating projection for sparse recovery

Reconstructing the sparse signal from a few linear measurements has attracted increasing attentions in recent years. In this study, the authors propose the alternating projection (AP) method for sparse signal recovery with learning the sparsity of the original signal. Different with classical hard t...

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Veröffentlicht in:	IET signal processing Jg. 11; H. 2; S. 135 - 144
Hauptverfasser:	Sun, Tao, Du, Peibing, Cheng, Lizhi, Jiang, Hao
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	The Institution of Engineering and Technology 01.04.2017
Schlagworte:	Algorithms alternating projection method AP method classical hard thresholding algorithms Efficiency images reconstruction intersect point Learning linear measurements Mathematical models matrix algebra Noise noise‐robust algorithm Projection Research Article sensing matrix Signal processing Signal reconstruction sparse recovery sparse signal reconstruction s‐sparse linear measurements alternating projection method sparse signal reconstruction sparse recovery classical hard thresholding algorithms s-sparse matrix algebra sensing matrix images reconstruction noise-robust algorithm signal reconstruction intersect point AP method
ISSN:	1751-9675, 1751-9683, 1751-9683
Online-Zugang:	Volltext
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