A fast algorithm for sparse signal recovery via fraction function

被引：0
|
作者：
Cui, Angang [1 ]
He, Haizhen [2 ]
Yang, Hong [1 ]
机构：
[1] Yulin Univ, Sch Math & Stat, Yulin, Shaanxi, Peoples R China
[2] Yulin Univ, Sch Int Educ, Yulin, Shaanxi, Peoples R China
来源：
ELECTRONICS LETTERS | 2024年 / 60卷 / 11期
关键词：
signal reconstruction; signal processing; SHRINKAGE-THRESHOLDING ALGORITHM; RECONSTRUCTION; REGULARIZATION;
D O I：
10.1049/ell2.13243
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this article, a fast algorithm is studied to recover the sparse signals. It can be regarded as an extension of the parameterized fast iterative shrinkage-thresholding algorithm from convex optimization to nonconvex optimization. Numerical results show that the proposed fast algorithm is efficient and fast in recovering the sparse signals. A fast algorithm is proposed to recover the sparse signals. Numerical results show that the proposed fast algorithm is efficient and fast in recovering the sparse signals. image
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页数：4
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