Iterative Weighted Group Thresholding Method for Group Sparse Recovery - Details

author：

Jiang, Lanfan (Jiang, Lanfan.) ^[1] | Zhu, Wenxing (Zhu, Wenxing.) ^[2]

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Abstract：

This　article　proposes　a　novel　iterative　weighted　group　thresholding　method　for　group　sparse　recovery　of　signals　from　underdetermined　linear　systems.　Based　on　an　equivalent　weighted　group　minimization　problem　with　\ell　_{p}^{p}　-norm　(　0　©　2012　IEEE.

Keyword：

Gradient methods Linear systems Signal reconstruction

Community：

[ 1 ] [Jiang, Lanfan]College of Mathematics and Computer Science, Fuzhou University, Fuzhou, China
[ 2 ] [Zhu, Wenxing]College of Mathematics and Computer Science, Fuzhou University, Fuzhou, China

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Source ：

IEEE Transactions on Neural Networks and Learning Systems

ISSN： 2162-237X

Year： 2021

Issue： 1

Volume： 32

Page： 63-76

1 4 . 2 5 5

JCR@2021

1 0 . 2 0 0

JCR@2023

ESI HC Threshold：106

JCR Journal Grade：1

CAS Journal Grade：1

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SCOPUS Cited Count： 7

ESI Highly Cited Papers on the List： 0 Unfold All

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30 Days PV： 0

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