Digital filter design using genetic algorithm

Author

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

Author_Institution

Dept. of Electr. Eng., Windsor Univ., Ont., Canada

fYear

1998

fDate

5-6 Jun 1998

Firstpage

34

Lastpage

38

Abstract

The authors present an algorithm for designing 1-D FIR filters using genetic algorithms. In addition, the authors examine the usefulness of various error norms such as I₂ and I_∞ (minimax), and their impact on the convergence rate and the optimal result. The authors also present the application of various coding schemes applied to the filter coefficients and their effect in obtaining optimum filters. Examples of 1-D FIR filters are given using the above methodologies to illustrate the usefulness and utilities of the proposed techniques

Keywords

FIR filters; circuit optimisation; convergence of numerical methods; digital filters; encoding; genetic algorithms; iterative methods; network synthesis; 1D FIR filters; coding; convergence rate; digital filter design; error norms; filter coefficients; genetic algorithm; iterative method; minimax norm; optimum filters; Algorithm design and analysis; Band pass filters; Biological cells; Digital filters; Encoding; Finite impulse response filter; Genetic algorithms; Genetic mutations; Manufacturing industries; Quantization;

fLanguage

English

Publisher

ieee

Conference_Titel

Advances in Digital Filtering and Signal Processing, 1998 IEEE Symposium on

Conference_Location

Victoria, BC

Print_ISBN

0-7803-4957-1

Type

conf

DOI

10.1109/ADFSP.1998.685690

Filename

685690