DocumentCode
3593361
Title
Performance comparison of genetic algorithm based design methods of digital filters with optimal magnitude response and minimum phase
Author
Karaboga, Nurhan ; Qetinkaya, B.
Author_Institution
Dept. of Electron. Eng., Erciyes Univ., Melikgazi
Volume
2
fYear
2003
Firstpage
644
Abstract
Genetic algorithm (GA) based design techniques are widely proposed for digital filters. However, the instability problem for IIR filters and the phase distortion for FIR and IIR filters occurring during the design process are important disadvantages for digital filters. In this work, an effective design method using GA for minimum phase and stable digital filters is presented both for FIR and IIR filters and the results are compared
Keywords
FIR filters; IIR filters; genetic algorithms; stability; FIR filter; IIR filter; digital filters; filter design; genetic algorithm; minimum phase; optimal magnitude response; phase distortion; stability; Algorithm design and analysis; Biological cells; Delay; Design methodology; Digital filters; Finite impulse response filter; Genetic algorithms; IIR filters; Nonlinear filters; Process design; Digital filters; Genetic algorithm; minimum phase; stability;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 2003 IEEE 46th Midwest Symposium on
ISSN
1548-3746
Print_ISBN
0-7803-8294-3
Type
conf
DOI
10.1109/MWSCAS.2003.1562369
Filename
1562369
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