• DocumentCode
    2262941
  • Title

    New nonlinear adaptive IIR digital filters

  • Author

    Li, Qiu Ping ; Kwan, Hon Keung

  • Author_Institution
    Dept. of Electr. Eng., Windsor Univ., Ont., Canada
  • fYear
    1993
  • fDate
    16-18 Aug 1993
  • Firstpage
    134
  • Abstract
    A new structure and its adaptive algorithm of a nonlinear adaptive IIR digital filter is presented. With the use of a nonlinear saturation function at the output, the stability problem adherent to conventional linear adaptive IIR digital filters can be avoided. The individual parameter adaptation scheme is developed into the adaptive algorithm to optimally adjust each parameter at every iteration. Based on the application in adaptive system identifications of linear IIR digital filters, simulation results obtained show that the new nonlinear adaptive IIR digital filters outperform those of linear adaptive IIR digital filters in terms of convergence speed and final output error residuals
  • Keywords
    IIR filters; circuit stability; convergence; digital filters; filtering theory; identification; nonlinear filters; IIR digital filters; adaptive algorithm; adaptive system identifications; convergence speed; individual parameter adaptation scheme; nonlinear adaptive; nonlinear saturation function; stability; Adaptive filters; Adaptive systems; Computational complexity; Convergence; Difference equations; Digital filters; Finite impulse response filter; IIR filters; Nonlinear filters; Stability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 1993., Proceedings of the 36th Midwest Symposium on
  • Conference_Location
    Detroit, MI
  • Print_ISBN
    0-7803-1760-2
  • Type

    conf

  • DOI
    10.1109/MWSCAS.1993.343047
  • Filename
    343047