PIECEWISE SPARSE SIGNAL RECOVERY VIA PIECEWISE ORTHOGONAL MATCHING PURSUIT

被引：0

作者：

Li, Kezhi ^{[1
,2
,3
]}

Rojas, Cristian R. ^{[2
]}

Yang, Tao ^{[2
]}

Hjalmarsson, Hakan ^{[2
]}

Johansson, Karl H. ^{[2
]}

Cong, Shuang ^{[1
]}

机构：

[1] Univ Sci & Tech China, Hefei, Peoples R China

[2] Royal Inst Technol KTH, Stockholm, Sweden

[3] Imperial Coll London, London, England

来源：

2016 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING PROCEEDINGS | 2016年

关键词：

MATRICES;

D O I：

暂无

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

In this paper, we consider the recovery of piecewise sparse signals from incomplete noisy measurements via a greedy algorithm. Here piecewise sparse means that the signal can be approximated in certain domain with known number of nonzero entries in each piece/segment. This paper makes a two-fold contribution to this problem: 1) formulating a piecewise sparse model in the framework of compressed sensing and providing the theoretical analysis of corresponding sensing matrices; 2) developing a greedy algorithm called piecewise orthogonal matching pursuit (POMP) for the recovery of piecewise sparse signals. Experimental simulations verify the effectiveness of the proposed algorithms.

引用

页码：4608 / 4612

页数：5

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