• DocumentCode
    1121681
  • Title

    Oblique Matching Pursuit

  • Author

    Rebollo-Neira, Laura

  • Author_Institution
    Aston Univ., Birmingham
  • Volume
    14
  • Issue
    10
  • fYear
    2007
  • Firstpage
    703
  • Lastpage
    706
  • Abstract
    A method for selecting a suitable subspace for discriminating signal components through an oblique projection is proposed. The selection criterion is based on the consistency principle introduced by Unser and Aldroubi and extended by Elder. An effective implementation of this principle for the purpose of subspace selection is achieved by updating of the dual vectors yielding the corresponding oblique projector.
  • Keywords
    iterative methods; signal processing; vectors; consistency principle; dual vector; oblique matching pursuit; oblique projection; oblique projector; subspace selection criterion; Extraterrestrial measurements; Extraterrestrial phenomena; Filtering; Matching pursuit algorithms; Noise cancellation; Sampling methods; Signal processing; Vectors; Consistency principle; consistent reconstruction; oblique matching pursuit; oblique projections; structured noise cancellation;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9908
  • Type

    jour

  • DOI
    10.1109/LSP.2007.898317
  • Filename
    4303082