DocumentCode
2068401
Title
Analysis and extension of existing bounds in compressed sensing
Author
Feng, Wang ; Ke-Chu, Yi ; Xin, Xiang ; Ye, Sun ; Juan, Wang
Author_Institution
State Key Lab. Of ISN., Xidian Univ., Xi´´an, China
fYear
2011
fDate
14-16 Sept. 2011
Firstpage
1
Lastpage
4
Abstract
This paper presents analysis and extension about known bounds in compressed basing on the Orthogonal Matching Pursuit algorithm. In the noiseless case, we focus on factors such as Restricted Isometry Property (RIP), Mutual Incoherence Property (MIP) and the recovery order of entries. For the noisy compressed sensing, we have proved two corollaries, exploiting the idea of noise folding, and obtained an upper bound of Signal-to-Noise Ratios (SNR) for the exact recovery.
Keywords
signal sampling; compressed sensing; mutual incoherence property; noise folding; orthogonal matching pursuit algorithm; restricted isometry property; signal-to-noise ratio; Compressed sensing; Educational institutions; Matching pursuit algorithms; Noise measurement; Signal to noise ratio; Sparse matrices; Compressed Sensing; Mutual Incoherence Property(MIP); Noise Folding; Orthogonal Matching Pursuit (OMP);
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing, Communications and Computing (ICSPCC), 2011 IEEE International Conference on
Conference_Location
Xi´an
Print_ISBN
978-1-4577-0893-0
Type
conf
DOI
10.1109/ICSPCC.2011.6061743
Filename
6061743
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