• DocumentCode
    2228669
  • Title

    On exact performances of adaptive Volterra filters: the finite alphabet case

  • Author

    Besbes, H. ; Jaidane, M. ; Ezzine, J.

  • Author_Institution
    L.S. Telecomes, Ghazala, Tunisia
  • Volume
    3
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    610
  • Abstract
    This paper deals with the analysis of adaptive Volterra filters in the finite alphabet inputs case. A tailored approach for this context is presented. Complete and rigorous mean square analysis are provided without any constraining independence assumption. An exact transient and steady state performances such as critical step size, rate of transient decrease, optimal step size and excess mean square error, are deduced
  • Keywords
    FIR filters; Volterra series; adaptive filters; filtering theory; identification; least mean squares methods; LMS algorithm; adaptive Volterra filters; critical step size; excess mean square error; finite alphabet inputs; mean square analysis; optimal step size; steady state performance; transient decrease rate; transient performance; Adaptive filters; Computer aided software engineering; Convergence; Equations; Finite impulse response filter; Least squares approximation; Mean square error methods; Nonlinear filters; Performance evaluation; Steady-state;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 2000. Proceedings. ISCAS 2000 Geneva. The 2000 IEEE International Symposium on
  • Conference_Location
    Geneva
  • Print_ISBN
    0-7803-5482-6
  • Type

    conf

  • DOI
    10.1109/ISCAS.2000.856134
  • Filename
    856134