• DocumentCode
    1440571
  • Title

    Weighted least-squares blind deconvolution of non-minimum phase systems

  • Author

    Fiori, S. ; Maiolini, G.

  • Author_Institution
    Neural Networks & Adaptive Syst. Res. Group, Perugia Univ., Italy
  • Volume
    147
  • Issue
    6
  • fYear
    2000
  • fDate
    12/1/2000 12:00:00 AM
  • Firstpage
    557
  • Lastpage
    563
  • Abstract
    A new algorithm based on a weighted least-squares technique is proposed that allows online deconvolution of non-minimum phase systems with neither knowledge of the system´s impulse response nor source statistics except for source signal moments up to the fourth order. Using computer simulations and computational complexity evaluation, the authors illustrate and compare the performances and the features of the proposed method with those of other techniques found in the literature
  • Keywords
    computational complexity; deconvolution; least squares approximations; computational complexity; nonminimum phase systems; online deconvolution; performance; source signal moments; weighted least-squares blind deconvolution;
  • fLanguage
    English
  • Journal_Title
    Vision, Image and Signal Processing, IEE Proceedings -
  • Publisher
    iet
  • ISSN
    1350-245X
  • Type

    jour

  • DOI
    10.1049/ip-vis:20000695
  • Filename
    903326