Paper Info
Title
Performance analysis of OMP algorithm in recovering magnitude decaying sparse signals in compressive sensing
Abstract
The sparse signal recovery has been the subject of extensive research in several different communities. This paper analyzes the performance of orthogonal matching pursuit (OMP) algorithm in recovering magnitude decaying sparse signal in compressive sensing. A concept of Peak Signal Interference Ratio (PSIR) is defined which relates to the identification of atoms in OMP algorithm. Moreover, the relationship between PSIR and the magnitude decaying rate is given and analyzed, which bridges the gap between the performance of OMP and the signal magnitude property. The aforementioned result can be verified through experimental simulation of recovering Zero-one sparse signal and different magnitude decaying sparse signals.
Year
DOI
Venue
2013
10.1109/I2MTC.2013.6555721
Instrumentation and Measurement Technology Conference
Keywords
Field
DocType
signal recovery,measurement matrix,omp algorithm,compressive sensing,matrix algebra,signal magnitude property,compressed sensing,psir,peak signal interference ratio,zero-one sparse signal,orthogonal matching pursuit algorithm,orthogonal matching pursuit,interference (signal),magnitude decaying sparse signal,algorithm design and analysis,sparse matrices,interference
Matching pursuit,Magnitude (mathematics),Pattern recognition,Computer science,Matrix algebra,Signal interference,Signal recovery,Algorithm,Artificial intelligence,Compressed sensing
Conference
Volume
Issue
ISSN
null
null
1091-5281
ISBN
Citations 
PageRank 
978-1-4673-4621-4
0
0.34
References 
Authors
11
4
Name
Order
Citations
PageRank
Jia Li1172.14
Qiang Wang260184.65
Yi Shen3124070.62
Bo Li4192.50