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
收藏
页码：112 / 118
页数：7
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