• DocumentCode
    1845611
  • Title

    Fast basis selection methods

  • Author

    Cotter, Shane E. ; Murthi, Manohar N. ; Rao, B.D.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., California Univ., San Diego, La Jolla, CA, USA
  • Volume
    2
  • fYear
    1997
  • fDate
    2-5 Nov. 1997
  • Firstpage
    1474
  • Abstract
    In this paper three methods of basis selection are considered: basic matching pursuit (BMP), order recursive matching pursuit (ORMP) and modified matching pursuit (MMP). These algorithms are briefly described and particular attention is paid, in the formulation of these algorithms, to the computation required. Fast versions of the algorithms are developed. The algorithms are evaluated in terms of their ability to produce a sparse solution and also in terms of their computational complexity and the storage necessary to implement them. Complexity-wise, BMP and MMP are shown to be comparable while ORMP is the most complex. In terms of their ability to select basis vectors, ORMP was the best followed by MMP and then BMP.
  • Keywords
    combinatorial mathematics; computational complexity; signal representation; sparse matrices; BMP; MMP; ORMP; basic matching pursuit; computational complexity; fast basis selection methods; formulation; modified matching pursuit; order recursive matching pursuit; sparse solution; storage; Algorithm design and analysis; Computational complexity; Filters; Matching pursuit algorithms; Pursuit algorithms; Signal design; Speech coding; Time frequency analysis; Vectors; Video coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems & Computers, 1997. Conference Record of the Thirty-First Asilomar Conference on
  • Conference_Location
    Pacific Grove, CA, USA
  • ISSN
    1058-6393
  • Print_ISBN
    0-8186-8316-3
  • Type

    conf

  • DOI
    10.1109/ACSSC.1997.679149
  • Filename
    679149