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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Bibliographic Details

Published in:	Signal processing Vol. 167; p. 107292
Main Authors:	Yue, Caitong, Liang, Jing, Qu, Boyang, Han, Yuhong, Zhu, Yongsheng, Crisalle, Oscar D.
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.02.2020
Subjects:	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 Access:	Get full text
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