遗传算法在FIR滤波器设计——频率抽样法中的应用

An Application of Genetic Algorithms in FIR Filter Design with Frequency Sampling Method

本文介绍了遗传算法在FIR滤波器设计———频率抽样法中的应用 .用遗传算法确定过渡带样本值 ,解决了传统方法 (查表法 )不能保证数据是最优的问题 .本文还对标准遗传算法进行了适当的改进 .给出了FIR数字低通、带通滤波器设计的两个例子 .实验结果说明通过遗传算法设计的FIR滤波器性能较查表法得到了改善 .

In this paper a new application of genetic algorithm (GA) in FIR filter design with frequency sampling method is presented.As the value of transition bands sample is obtained by GA,the problem that the value obtained by searching for table method is not the optimal can be solved.Suitable improvements are made for the standard GA in the paper.Two examples of lowpass and bandpass FIR filter design are provided.Experimental results have shown that the performance of the filter,which is designed via GA,is improved as compared with searching for table method.