• DocumentCode
    2503109
  • Title

    Convex multiresolution analysis

  • Author

    Combettes, P.L. ; Pesquet, J.-C.

  • Author_Institution
    Dept. of Electr. Eng., City Univ. of New York, NY, USA
  • fYear
    1996
  • fDate
    18-21 Jun 1996
  • Firstpage
    301
  • Lastpage
    304
  • Abstract
    A standard wavelet multiresolution analysis can be defined via a sequence of projection operators onto a monotone sequence of closed vector subspaces possessing suitable invariance properties. We propose an extension of this framework in which the linear projection operators are replaced by nonlinear retractions onto convex sets. These retractions are chosen so as to provide a recursive, monotone signal approximation scheme. Numerical simulations are also provided
  • Keywords
    invariance; signal processing; wavelet transforms; closed vector subspaces; convex multiresolution analysis; convex sets; invariance properties; linear projection operators; monotone sequence; monotone signal approximation scheme; nonlinear retractions; numerical simulations; projection operators sequence; standard wavelet multiresolution analysis; Filtering; Multiresolution analysis; Nonlinear filters; Partial differential equations; Signal processing; Signal resolution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Time-Frequency and Time-Scale Analysis, 1996., Proceedings of the IEEE-SP International Symposium on
  • Conference_Location
    Paris
  • Print_ISBN
    0-7803-3512-0
  • Type

    conf

  • DOI
    10.1109/TFSA.1996.547473
  • Filename
    547473