Sparse signal reconstruction via generalized two-stage thresholding

被引：0

作者：

Heping SONG ^{[1
,2
]}

Zehong AI ^{[1
]}

Yuping LAI ^{[3
]}

Hongying MENG ^{[4
]}

Qirong MAO ^{[1
]}

机构：

[1] School of Computer Science and Telecommunications Engineering, Jiangsu University

[2] Jiangsu Key Laboratory of Security Technology for Industrial Cyberspace, Jiangsu University

[3] School of Cyberspace Security, Beijing University of Posts and Telecommunications

[4] Department of Electronic & Computer Engineering, Brunel University London

来源：

Science China(Information Sciences) | 2022年 / 65卷 / 03期

基金：

中国国家自然科学基金;

关键词：

D O I：

暂无

中图分类号：

TN911.7 [信号处理];

学科分类号：

0711 ; 080401 ; 080402 ;

摘要：

Dear editor,The sparse representation model has received a great amount of attention in various signal and image processing applications. Compressed sensing(CS) [1] has consistently focused on devising sparse representation methods that seek to efficiently reconstruct a k-sparse(only k nonzero entries,

引用

页码：288 / 289

页数：2

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