TY - GEN
T1 - Optimizing the design of IIR filter via genetic algorithm
AU - Li, Xue
AU - Zhao, Rongckun
AU - Wang, Qing
PY - 2003
Y1 - 2003
N2 - The IIR filter design under the mixed-criterion of H2 norm and ∞ 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.
AB - The IIR filter design under the mixed-criterion of H2 norm and ∞ 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.
UR - http://www.scopus.com/inward/record.url?scp=34248682041&partnerID=8YFLogxK
U2 - 10.1109/ICNNSP.2003.1279314
DO - 10.1109/ICNNSP.2003.1279314
M3 - 会议稿件
AN - SCOPUS:34248682041
SN - 0780377028
SN - 9780780377028
T3 - Proceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03
SP - 476
EP - 479
BT - Proceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03
T2 - 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03
Y2 - 14 December 2003 through 17 December 2003
ER -