• DocumentCode
    2264657
  • Title

    IIR and FIR fuzzy filters

  • Author

    Baglio, S. ; Fortuna, L. ; Presti, M. Lo ; Vinci, C.

  • Author_Institution
    Dipartimento di Elettrico, Elettron. e Sistemistico, Catania Univ., Italy
  • fYear
    1993
  • fDate
    16-18 Aug 1993
  • Firstpage
    832
  • Abstract
    In this paper a methodology for the design of FIR and IIR fuzzy filters is presented. The choice to implement fuzzy filters rises from the obvious advantages in terms of low computational costs and easy implementation. The validation of the proposed methodology has been performed through the analysis of several examples of fuzzy filters. The obtained results show the suitability of the method over classical design techniques
  • Keywords
    FIR filters; IIR filters; filtering theory; fuzzy logic; fuzzy set theory; FIR fuzzy filters; IIR fuzzy filters; design technique; Computational efficiency; Design methodology; Finite impulse response filter; Fuzzy logic; Fuzzy sets; IIR filters; Inference algorithms; Input variables; Performance analysis; Voltage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 1993., Proceedings of the 36th Midwest Symposium on
  • Conference_Location
    Detroit, MI
  • Print_ISBN
    0-7803-1760-2
  • Type

    conf

  • DOI
    10.1109/MWSCAS.1993.343198
  • Filename
    343198