DocumentCode :
2673270
Title :
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
Link To Document :
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