• DocumentCode
    2665081
  • Title

    Modification of the least-mean-square equation error algorithm for IIR system identification and adaptive filtering

  • Author

    Lin, Ji-Nan ; Unbehauen, Rolf

  • Author_Institution
    Lehrstuhl fuer Allgemeine unde Theoretische Elektrotech., Erlangen-Nurnberg Univ., West Germany
  • fYear
    1990
  • fDate
    1-3 May 1990
  • Firstpage
    3150
  • Abstract
    An algorithm is proposed for infinite impulse response (IIR) system identification and signal adaptive filtering which is derived from the least-mean-square equation error algorithm, but it manages to remedy its bias without a loss of stability. The so-called bias-remedy least-mean-square equation error algorithm has a simple form, and it shows satisfactory behavior in the series of computer simulations. The algorithm´s stability is discussed
  • Keywords
    adaptive filters; errors; filtering and prediction theory; least squares approximations; signal processing; IIR system identification; LMS equation error algorithm; adaptive filtering; bias-remedy; computer simulations; infinite impulse response; least-mean-square; stability; Adaptive filters; Convergence; Equations; Error correction; Filtering algorithms; IIR filters; Parameter estimation; Signal processing; Stability; System identification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 1990., IEEE International Symposium on
  • Conference_Location
    New Orleans, LA
  • Type

    conf

  • DOI
    10.1109/ISCAS.1990.112680
  • Filename
    112680