Improvement of CSD Coefficient FIR Filter Design Performance by Reducing the Number of Penalized Individuals

Abstract

A design method for CSD Coefficient FIR filters using PfGA has been proposed. PfGA is a method based on GA that a parameter tuning task is not required in advance and a high speed design can be realized by a search with a small number of individuals. However, the degradation of designed filter performance is confirmed by the increasing of the number of penalized individuals. In this paper, the penalized individual is replaced to the unpenalized individual for improving the diversification. The effectiveness of the method is verified through several design examples.