Parameters optimization during filter design based on improved genetic algorithm

被引:0
|
作者
Wang, XD [1 ]
机构
[1] Zhejiang Normal Univ, Coll Math Phys & Informat Sci, Jinhua 321004, Zhejiang, Peoples R China
关键词
filter design; parameter optimization; genetic algorithm;
D O I
暂无
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
An improved genetic algorithm (IGA) uses a float representation and increases the exploitation of the local solution by non-uniform mutation operator. and parameter optimization of filter is achieved by means of the IGA.Comparing with conventional optimal methods and canonical genetic algorithm, the IGA has fast convergence rate and good precision. This method may produce a better design and guarantee the stability of designed filter by constraining the parameters. Two examples of infinite-impulse-response (IIR) digital filters in a cascade form are considered. The results prove that the method is effective and usable.
引用
收藏
页码:771 / 776
页数:6
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