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