• DocumentCode
    3783962
  • Title

    An approach to neuro-fuzzy filtering for communications and control

  • Author

    Z.M. Cojbasic;V.D. Nikolic

  • Author_Institution
    Fac. of Mech. Engineermg, Nis Univ., Serbia
  • Volume
    2
  • fYear
    2001
  • fDate
    6/23/1905 12:00:00 AM
  • Firstpage
    719
  • Abstract
    To reduce the influence of noise in communication and control systems the use of neuro-fuzzy adaptive nonlinear filters is studied. The most important advantage of the soft computing based adaptive filters is that linguistic and numerical information can be efficiently combined. A unified procedure for filter design is presented, and different approaches are also considered.
  • Keywords
    "Communication system control","Adaptive filters","Nonlinear filters","Noise cancellation","Control systems","Fuzzy systems","Neural networks","Nonlinear control systems","Information filtering","Information filters"
  • Publisher
    ieee
  • Conference_Titel
    Telecommunications in Modern Satellite, Cable and Broadcasting Service, 2001. TELSIKS 2001. 5th International Conference on
  • Print_ISBN
    0-7803-7228-X
  • Type

    conf

  • DOI
    10.1109/TELSKS.2001.955872
  • Filename
    955872
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3783962