Sparse signal recovery using orthogonal matching pursuit (OMP)

被引：0

作者：

Lobato Polo, Adriana Patricia ^{[1
]}

Ruiz Coral, Rafael Humberto ^{[1
]}

Quiroga Sepulveda, Julian Armando ^{[1
]}

Recio Velez, Adolfo Leon ^{[1
]}

机构：

[1] Pontif Univ Javeriana, Dept Ingn Elect, Javeriana, Colombia

来源：

INGENIERIA E INVESTIGACION | 2009年 / 29卷 / 02期

关键词：

compressed sensing; orthogonal matching pursuit; measurement matrix;

D O I：

暂无

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Compressive sensing is an emergent field of signal processing which states that a small number of non-adaptive linear projections on a compressible signal contain enough information to reconstruct and process it. This paper presents the results of evaluating five measurement matrices for applying them to compressive sensing in a system using orthogonal matching pursuit (OMP) to reconstruct the original signal. The measurement matrices were those implicated in compressive sensing as well as in reconstructing the signal. The Hadamord-random matrix stood out within this group of matrices because the lowest percentage of error in signal recovery was obtained with it. This paper also presents a methodology for evaluating these matrices, allowing subsequent analysis of their suitability for specific applications.

引用

页码：112 / 118

页数：7

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