Hybrid method based optimized design of digital IIR filter

N. Agrawal, A. Kumar, V. Bajaj
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引用次数: 10

Abstract

In this paper, a hybrid optimization for the design infinite impulse response (IIR) filter employing particle swarm optimization (PSO) and artificial bee colony (ABC) algorithm is presented. The design problem is formulated as a mean square error between desired response and ideal response. For the stability of filter, a lattice structure in design is utilized. A comparative study of performance of PSO and its different variants is also made which shows improved efficiency of hybrid method in the field of IIR filter design.
基于混合方法的数字IIR滤波器优化设计
提出了一种基于粒子群算法和人工蜂群算法的无限脉冲响应滤波器的混合优化设计方法。设计问题被表述为期望响应和理想响应之间的均方误差。为了保证滤波器的稳定性,在设计中采用了点阵结构。对比研究了粒子群算法及其不同变体的性能,证明了混合算法在IIR滤波器设计中的有效性。
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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