A Quantum-Behaved Particle Swarm Optimization With Diversity-Guided Mutation for the Design of Two-Dimensional IIR Digital Filters

被引：46

作者：

Sun, Jun ^{[1
]}

Fang, Wei ^{[1
]}

Xu, Wenbo ^{[1
]}

机构：

[1] Jiangnan Univ, Sch Informat Technol, Wuxi 214122, Peoples R China

来源：

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS | 2010年 / 57卷 / 02期

关键词：

Digital IIR filters; heuristics; multidimensional digital filters; particle swarm optimization (PSO); RECURSIVE FILTERS;

D O I：

10.1109/TCSII.2009.2038514

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This brief proposes quantum-behaved particle swarm optimization with diversity-guided mutation (QPSO-DGM) to solve the problem of designing the optimal 2-D zero-phase IIR digital filters. The new method integrates a diversity control strategy into QPSO to guide the particle's search and thus improve the capabilities of exploration. Numerical results demonstrate that the design approach based on QPSO-DGM can obtain better digital IIR filters than the existing methods.

引用

页码：141 / 145

页数：5

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