• DocumentCode
    1996187
  • Title

    Adaptive IIR filtering using stochastic filters

  • Author

    Etter, D.M. ; Chia, B.S.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Colorado Univ., Boulder, CO, USA
  • fYear
    1991
  • fDate
    14-17 Apr 1991
  • Firstpage
    2085
  • Abstract
    The authors present results illustrating the convex operating region of the stochastic filter which makes it possible to use the stochastic filter to model IIR (infinite impulse response) filters adaptively without concern about stability. Since the selection of the fixed filters in the stochastic filter determine its operation region, the fixed filters can be selected to cover most of the unit circle, or, if any prior information is available that reduces the region containing the unknown system poles, one can use that information in selecting the fixed filters. Computer simulations that generate an adaptive model for an autoregressive system are presented
  • Keywords
    adaptive filters; digital filters; filtering and prediction theory; poles and zeros; adaptive IIR filtering; adaptive model; autoregressive system; convex operating region; fixed filters; infinite impulse response; unit circle; unknown system poles; Adaptive filters; Convergence; Filtering; Finite impulse response filter; Hardware; IIR filters; Software performance; Stability; Stochastic processes; Time domain analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference on
  • Conference_Location
    Toronto, Ont.
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-0003-3
  • Type

    conf

  • DOI
    10.1109/ICASSP.1991.150816
  • Filename
    150816