DocumentCode :
1790843
Title :
New coherence and rip analysis for weak orthogonal matching pursuit
Author :
Mingrui Yang ; de Hoog, Frank
Author_Institution :
Div. of Comput. Inf., Commonwealth Sci. & Ind. Res. Organ., Canberra, ACT, Australia
fYear :
2014
fDate :
June 29 2014-July 2 2014
Firstpage :
376
Lastpage :
379
Abstract :
In this paper we define a new coherence index, named the global 2-coherence, of a given dictionary and study its relationship with the conventional mutual coherence and the restricted isometry constant. By exploring this relationship, we obtain more general results on sparse signal reconstruction using greedy algorithms in the compressive sensing (CS) framework. In particular, we obtain an improved bound over the best known results on the restricted isometry constant for successful recovery of sparse signals using orthogonal matching pursuit (OMP).
Keywords :
compressed sensing; greedy algorithms; signal reconstruction; CS framework; OMP; RIP analysis; coherence index; compressive sensing framework; global 2-coherence; greedy algorithms; mutual coherence; restricted isometry constant; restricted isometry property; sparse signal reconstruction; weak orthogonal matching pursuit; Coherence; Compressed sensing; Conferences; Dictionaries; Indexes; Matching pursuit algorithms; Minimization; Compressive sensing; global 2-coherence; mutual coherence; orthogonal matching pursuit (OMP); restricted isometry property; weak orthogonal matching pursuit (WOMP);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Statistical Signal Processing (SSP), 2014 IEEE Workshop on
Conference_Location :
Gold Coast, VIC
Type :
conf
DOI :
10.1109/SSP.2014.6884654
Filename :
6884654
Link To Document :
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