• DocumentCode
    974660
  • Title

    Reply to “Comments on ‘A Recursive Least M-Estimate Algorithm for Robust Adaptive Filtering in Impulsive Noise: Fast Algorithm and Convergence Performance Analysis’”

  • Author

    Chan, S.C. ; Zou, Y.X. ; Zhou, Yangzhong

  • Volume
    57
  • Issue
    1
  • fYear
    2009
  • Firstpage
    389
  • Lastpage
    389
  • Abstract
    We appreciate the comments by Bershad [ldquoComments on `A Recursive Least M-Estimate Algorithm for Robust Adaptive Filtering in Impulsive Noise: Fast Algorithm and Convergence Performance Analysis,´rdquo IEEE Transactions on Signal Processing, vol. 57, no. 1, January 2009] on an assumption of our paper [ldquoA Recursive Least M-Estimate Algorithm for Robust Adaptive Filtering in Impulsive Noise: Fast Algorithm and Convergence Performance Analysis,rdquo IEEE Transactions on Signal Processing, vol. 52, no. 4, April 2004]. In this reply, we elaborate further on this assumption, which was originally introduced as an approximation to simplify the performance analysis. Modifications and references to a related extension of Price´s theorem for independent mixtures are outlined. We wish this will clarify the issues raised.
  • Keywords
    adaptive filters; impulse noise; least mean squares methods; recursive estimation; Price theorem; convergence performance analysis; impulsive noise; recursive least M-estimate algorithm; robust adaptive filtering;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/TSP.2008.2007921
  • Filename
    4663919