• 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