A Lorentzian IHT for Complex-Valued Sparse Signal Recovery

被引：4

作者：

Hu, Rui ^{[1
]}

Fu, Yuli ^{[1
]}

Chen, Zhen ^{[1
]}

Xiang, Youjun ^{[1
]}

Tang, Jie ^{[1
]}

机构：

[1] South China Univ Technol, Sch Elect & Informat Engn, Guangzhou, Guangdong, Peoples R China

来源：

CIRCUITS SYSTEMS AND SIGNAL PROCESSING | 2018年 / 37卷 / 02期

关键词：

Sparse signal recovery; Complex-valued signal; Compressive sensing; S alpha S distribution; NON-GAUSSIAN NOISE; CONSTRAINED OUTPUT; IDENTIFICATION; DESIGN; MODELS;

D O I：

10.1007/s00034-017-0575-9

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 paper, robust complex-valued sparse signal recovery is considered in the presence of impulse noise. A generalized Lorentzian norm is defined for complex-valued signals. A complex Lorentzian iterative hard thresholding algorithm is proposed to realize the signal recovery. Simulations are given to demonstrate the validity of our results.

引用

页码：862 / 872

页数：11

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