• DocumentCode
    3466119
  • Title

    Design of 1-D FIR filters with genetic algorithms

  • Author

    Lee, A. ; Ahmadi, M. ; Jullien, G.A. ; Lashkari, R.S. ; Miller, W.C.

  • Author_Institution
    Dept. of Electr. Eng., Windsor Univ., Ont., Canada
  • Volume
    2
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    955
  • Abstract
    This paper presents an algorithm for designing 1-D FIR filters using genetic algorithms. We examine the usefulness of various error norms such as L2 and L∞ (minimax), and their impact on convergence rate and optimal result. We also present the application of a ternary encoding scheme applied to the filter coefficients and its effect on obtaining optimum filters. An example of a 1-D FIR filter is given using the above methodology to illustrate the usefulness and utility of the proposed technique
  • Keywords
    FIR filters; circuit optimisation; convergence of numerical methods; filtering theory; genetic algorithms; 1D FIR filters; convergence rate; error norms; filter design; genetic algorithms; optimum filters; ternary encoding scheme; Algorithm design and analysis; Australia; Band pass filters; Biological cells; Digital filters; Encoding; Finite impulse response filter; Genetic algorithms; Genetic mutations; Signal processing algorithms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Its Applications, 1999. ISSPA '99. Proceedings of the Fifth International Symposium on
  • Conference_Location
    Brisbane, Qld.
  • Print_ISBN
    1-86435-451-8
  • Type

    conf

  • DOI
    10.1109/ISSPA.1999.815830
  • Filename
    815830
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3466119