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

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3 Author(s)
Jun Sun ; School of Information Technology, Jiangnan University, Wuxi, China ; Wei Fang ; Wenbo Xu

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.

Published in:

IEEE Transactions on Circuits and Systems II: Express Briefs  (Volume:57 ,  Issue: 2 )