• DocumentCode
    1667395
  • Title

    Nonlinear IIR adaptive filtering using a bilinear structure

  • Author

    Gao, X.Y. ; Snelgrove, W.M. ; Johns, D.A.

  • Author_Institution
    Toronto Univ., Ont., Canada
  • fYear
    1989
  • Firstpage
    1740
  • Abstract
    A nonlinear IIR (infinite-impulse-response) adaptive filter that is based on a Volterra polynomial realized by a set of bilinear systems is presented. Each bilinear system corresponds to a cascade connection of linear systems and multipliers. This allows the extension of some linear adaptive concepts. Nonlinear IIR adaptive filters have an advantage over FIR (finite-impulse-response) Volterra filters in that in some applications they may result in less computation. The results of a simulation example show the applicability and practical convergence rate of the nonlinear IIR adaptive filter presented
  • Keywords
    convergence; digital filters; filtering and prediction theory; polynomials; Volterra polynomial; bilinear structure; cascade connection; convergence rate; infinite-impulse-response; linear systems; multipliers; nonlinear IIR adaptive filter; Adaptive filters; Finite impulse response filter; IIR filters; Kernel; Linear systems; Nonlinear equations; Nonlinear filters; Nonlinear systems; Polynomials; Transversal filters;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 1989., IEEE International Symposium on
  • Conference_Location
    Portland, OR
  • Type

    conf

  • DOI
    10.1109/ISCAS.1989.100702
  • Filename
    100702