• DocumentCode
    2614496
  • Title

    Fast recursive adaptation for nonlinear filters

  • Author

    Rauf, Fawad ; Ahmed, Hassan M.

  • Author_Institution
    ECS Dept., Boston Univ., MA, USA
  • fYear
    1993
  • fDate
    3-6 May 1993
  • Firstpage
    2628
  • Abstract
    A new recursive procedure is presented for developing fast algorithms for nonlinear adaptive filters. Fast recursive adaptation is achieved at a computational cost comparable to simple stochastic gradient algorithms. Successive linearization is shown to be an adequate approximation procedure for developing a general class of nonlinear adaptive filters
  • Keywords
    adaptive filters; nonlinear filters; recursive filters; adaptive filters; approximation procedure; computational cost; nonlinear filters; recursive adaptation; stochastic gradient algorithms; successive linearization; Adaptive filters; Electronic mail; Equations; Laboratories; Nonlinear filters; Nonlinear systems; Polynomials; Signal processing algorithms; Stochastic processes; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 1993., ISCAS '93, 1993 IEEE International Symposium on
  • Conference_Location
    Chicago, IL
  • Print_ISBN
    0-7803-1281-3
  • Type

    conf

  • DOI
    10.1109/ISCAS.1993.394305
  • Filename
    394305
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2614496