NDLI: Analysis of Adaptive IIR Filter Design Based on Quantum-behaved Particle Swarm Optimization

Content Provider	IEEE Xplore Digital Library
Author	Wei Fang Jun Sun Wenbo Xu
Copyright Year	2006
Description	Author affiliation: Sch. of Inf. Technol., Southern Yangtze Univ., Wuxi (Wei Fang; Jun Sun; Wenbo Xu)
Abstract	Adaptive infinite impulse response (IIR) filters have a wide range of applications such as channel equation, echo canceling and system identification. As the error surface of IIR filters is usually multi-modal, it is necessary to use global optimization techniques to avoid local minima. In this paper, we applied our previously proposed global optimization algorithm, called quantum-behaved particle swarm optimization (QPSO), to design IIR filters. The quantum behaving in physics and particle swarm optimization had combined to form the new method. The method has some typical characteristic, such as fast convergence rate, global convergence ability, simple coding and easily programming etc, which is proved by simulation experiments at last
Starting Page	3396
Ending Page	3400
File Size	205434
Page Count	5
File Format	PDF
ISBN	1424403324
DOI	10.1109/WCICA.2006.1712998
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-06-21
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	IIR filters Particle swarm optimization Finite impulse response filter Design optimization Sun System identification Convergence Quantum computing High performance computing Information technology system identification Adaptive filters IIR filter design global optimization Quantum-behaved particle swarm optimization
Content Type	Text
Resource Type	Article

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