Title :
Optimizing the design of IIR filter via genetic algorithm
Author :
Xue, Li ; Zhao Rongchun ; Qing, Wang
Author_Institution :
Sch. of Electron. & Inf. Eng., Beihang Univ., Beijing, China
Abstract :
The IIR filter design under the mixed-criterion of H/sub 2/ norm and /spl infin/ norm is proposed in this paper, and genetic algorithms (GA) is introduced to realize the filter design based on such criterion. By this approach, the disadvantage of other conventional methods is avoided and the satisfied performance of the designed filter is obtained. The evaluating example shows that the filter designed by GA is superior to conventional Butterworth filter in either the optimization capability of design method or the performance of designed filter.
Keywords :
IIR filters; genetic algorithms; /spl infin/ norm; H/sub 2/ norm; IIR filter; conventional Butterworth filter; filter design; genetic algorithm; optimization capability; Algorithm design and analysis; Design engineering; Design methodology; Design optimization; Digital filters; Erbium; Frequency domain analysis; Genetic algorithms; Hydrogen; IIR filters;
Conference_Titel :
Neural Networks and Signal Processing, 2003. Proceedings of the 2003 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
0-7803-7702-8
DOI :
10.1109/ICNNSP.2003.1279314
