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Optimizing the design of IIR filter via genetic algorithm

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3 Author(s)
Li Xue ; Sch. of Electron. & Inf. Eng., Beihang Univ., Beijing, China ; Zhao Rongchun ; Wang Qing

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.

Published in:

Neural Networks and Signal Processing, 2003. Proceedings of the 2003 International Conference on  (Volume:1 )

Date of Conference:

14-17 Dec. 2003