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Design IIR Digital Filters Using Quantum-Behaved Particle Swarm Optimization

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Advances in Natural Computation (ICNC 2006)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4222))

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Abstract

Design IIR digital filters with arbitrary specified frequency is a multi-parameter optimization problem. In this paper, we employ our proposed method, Quantum-behaved Particle Swarm Optimization (QPSO), to solve the IIR digital filters design problem. QPSO, which is inspired by the fundamental theory of Particle Swarm Optimization and quantum mechanics, is a global convergent stochastic searching technique. The merits of the proposed method such as global convergent, robustness and rapid convergence are demonstrated by the experiment results on the low-pass and band-pass IIR filters.

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Authors and Affiliations

  1. Center of Intelligent and High Performance Computing, School of Information Technology, Southern Yangtze University, No. 1800, Lihudadao Road, Wuxi, Jiangsu, 214122, China

    Wei Fang, Jun Sun & Wenbo Xu

Authors
  1. Wei Fang
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  2. Jun Sun
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  3. Wenbo Xu
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Editor information

Editors and Affiliations

  1. Life Science Research Center, School of Electronic Engineering, Xidian University, 710071, Xi’an, Shaanxi, China

    Licheng Jiao

  2. School of Electrical and Electronic Engineering, Nanyang Technological University, Block S1, Nanyang Avenue, 639798, Singapore

    Lipo Wang

  3. School of Electronic Engineering, Xidian Univ., P.O. Box, 710071, Xi’an, P.R. China

    Xinbo Gao

  4. College of Mathematics and Information Science, Hebei Normal University, 050016, Shijiazhuang, Hebei, P.R. China

    Jing Liu

  5. Multi-Agent Systems Lab,Department of Computer Science, University of Science and Technology of China, 230026, Hefei, China

    Feng Wu

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© 2006 Springer-Verlag Berlin Heidelberg

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Fang, W., Sun, J., Xu, W. (2006). Design IIR Digital Filters Using Quantum-Behaved Particle Swarm Optimization. In: Jiao, L., Wang, L., Gao, X., Liu, J., Wu, F. (eds) Advances in Natural Computation. ICNC 2006. Lecture Notes in Computer Science, vol 4222. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11881223_78

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  • DOI: https://doi.org/10.1007/11881223_78

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-45907-1

  • Online ISBN: 978-3-540-45909-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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