Design of digital IIR filter using Particle Swarm Optimization

Fatmanur Serbet, T. Kaya, M. Özdemir
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引用次数: 15

Abstract

The paper aims to establish a solution methodology for the optimal design of digital Infinite Impulse Response (IIR) filter by integrating the features of Particle Swarm Optimization (PSO). PSO is a method that optimizes a problem by iteratively trying to improve a candidate solution with regard to a given measure of quality to mathematical formula over the particle's position and velocity. The applied method explores the search space locally as well as globally and uses them in the mathematical formulas. The optimal design of IIR filter is realized with the result obtained with PSO.
基于粒子群算法的数字IIR滤波器设计
结合粒子群算法的特点,建立了数字无限脉冲响应(IIR)滤波器的优化设计方法。粒子群算法是一种优化问题的方法,通过迭代地尝试改进一个候选解决方案,考虑到给定的质量的数学公式超过粒子的位置和速度。该方法既探索局部搜索空间,又探索全局搜索空间,并将其应用于数学公式中。利用粒子群算法实现了IIR滤波器的优化设计。
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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