A novel multiobjective optimization algorithm for sparse signal reconstruction

Sparsity and reconstruction error are two main objectives to be optimized in sparse signal reconstruction. In this paper, sparse signals are reconstructed by optimizing these two objectives simultaneously. This reconstruction method mainly consists of three steps. First, a one-dimension-dominated me...

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Veröffentlicht in:	Signal processing Jg. 167; S. 107292
Hauptverfasser:	Yue, Caitong, Liang, Jing, Qu, Boyang, Han, Yuhong, Zhu, Yongsheng, Crisalle, Oscar D.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.02.2020
Schlagworte:	Compress sensing Multiobjective optimization Particle swarm optimization (PSO) Sparse reconstruction Particle swarm optimization (PSO) Sparse reconstruction Multiobjective optimization Compress sensing
ISSN:	0165-1684, 1872-7557
Online-Zugang:	Volltext
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