Block-Refined Orthogonal Matching Pursuit for Sparse Signal Recovery

被引：1

作者：

Ji, Ying ^{[1
]}

Wu, Xiaofu ^{[1
]}

Yan, Jun ^{[1
]}

Zhu, Wei-ping ^{[1
]}

Yang, Zhen ^{[1
]}

机构：

[1] Nanjing Univ Posts & Telecommun, Inst Signal Proc & Transmiss, Nanjing, Jiangsu, Peoples R China

来源：

IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES | 2014年 / E97A卷 / 08期

基金：

中国国家自然科学基金;

关键词：

compressive sensing; orthogonal matching pursuit; blockrefined orthogonal matching pursuit; refining strategy;

D O I：

10.1587/trnasfun.E97.A.1787

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

We propose a variant of OMP algorithm named BROMP for sparse solution. In our algorithm, the update rule of MI' algorithm is employed to reduce the number of least square calculations and the refining strategy is introduced to further improve its performance. Simulations show that the proposed algorithm performs better than the OMP algorithm with significantly lower complexity.

引用

页码：1787 / 1790

页数：4

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