• DocumentCode
    1896474
  • Title

    Non-linear filtering and equalization in non-Gaussian noise using radial basis function and related networks

  • Author

    Cha, Inhyok ; Kassam, Saleem A.

  • Author_Institution
    Bell Labs., Lucent Technol. Inc., Whippany, NJ, USA
  • Volume
    1
  • fYear
    1997
  • fDate
    2-5 Nov. 1997
  • Firstpage
    13
  • Abstract
    We review the RBFN and several related networks in the context of using them in non-linear filtering and channel equalization applications under non-Gaussian noise environments. We present simulation results that suggest that these networks are very useful for such applications.
  • Keywords
    equalisers; feedforward neural nets; noise; nonlinear filters; RBFN; channel equalization; nonGaussian noise; nonlinear filtering; radial basis function networks; Electronic mail; Filtering; Finite impulse response filter; Gaussian noise; Nonlinear filters; Radial basis function networks; Signal processing; Signal processing algorithms; Vectors; Working environment noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems & Computers, 1997. Conference Record of the Thirty-First Asilomar Conference on
  • Conference_Location
    Pacific Grove, CA, USA
  • ISSN
    1058-6393
  • Print_ISBN
    0-8186-8316-3
  • Type

    conf

  • DOI
    10.1109/ACSSC.1997.680021
  • Filename
    680021