• DocumentCode
    2416561
  • Title

    Necessary and sufficient condition on convergence and robustness for a class of iterative algorithms with applications in adaptive filtering

  • Author

    Zhu, Yue-Min

  • Author_Institution
    Inst. of Math. Sci., Acad. Sinica, Chengdu
  • fYear
    1992
  • fDate
    1992
  • Firstpage
    505
  • Abstract
    The following class of recursive algorithm is considered: [X n+1=Xn+an (B +Cn)Xn+bn ]. Under weaker assumptions about {Cn} than those used for previous results, the necessary and sufficient condition on {bn} for the convergence of this algorithm is established, and its robustness is examined. These results are then applied to an adaptive filtering algorithm in order to obtain better convergence and robustness results than those previously given by the authors (1991)
  • Keywords
    adaptive filters; convergence of numerical methods; filtering and prediction theory; iterative methods; recursive functions; adaptive filtering; convergence; iterative algorithms; recursive algorithm; robustness; stochastic algorithms; Adaptive filters; Algorithm design and analysis; Convergence; Eigenvalues and eigenfunctions; Filtering algorithms; Iterative algorithms; Robustness; Signal processing algorithms; Stochastic processes; Sufficient conditions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 1992., Proceedings of the 31st IEEE Conference on
  • Conference_Location
    Tucson, AZ
  • Print_ISBN
    0-7803-0872-7
  • Type

    conf

  • DOI
    10.1109/CDC.1992.371683
  • Filename
    371683