Design of 2-D FIR Half-Band Filters Using Genetic Algorithm

F. Wysocka-Schillak
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引用次数: 4

Abstract

In the paper, a method for designing 2D FIR linear-phase half-band filters is proposed. The method is based on two error criteria, i.e., equiripple error criterion in the passband and least-squared error criterion in the stopband. The filter design problem is transformed into an equivalent bicriterion optimization problem. A two-step solution procedure of the considered problem is presented. In the first step, a genetic algorithm is applied. The final point from the genetic algorithm is used as the starting point for a local optimization method. Two design examples are given to illustrate the proposed technique.
利用遗传算法设计二维FIR半带滤波器
本文提出了一种二维FIR线性相位半带滤波器的设计方法。该方法基于两个误差准则,即通带的等纹误差准则和阻带的最小二乘误差准则。将滤波器设计问题转化为等效双准则优化问题。给出了该问题的两步求解过程。第一步,采用遗传算法。将遗传算法的最终点作为局部优化方法的起始点。给出了两个设计实例来说明所提出的技术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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