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
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;
Conference_Titel :
Circuits and Systems, 2003 IEEE 46th Midwest Symposium on
Print_ISBN :
0-7803-8294-3
DOI :
10.1109/MWSCAS.2003.1562369
