Searching for just a few words should be enough to get started. If you need to make more complex queries, use the tips below to guide you.
Article type: Research Article
Authors: Saha, Sumana | Kar, Rajiba; * | Mandal, Durbadala | Ghoshal, S.P.b
Affiliations: [a] Department of Electronics and Communication Engineering, National Institute of Technology, Durgapur, India | [b] Department of Electrical Engineering, National Institute of Technology, Durgapur, India
Correspondence: [*] Corresponding author: Rajib Kar, Department of Electronics and Communication Engineering, National Institute of Technology, Durgapur, India. E-mail: rajibkarece@gmail.com
Abstract: In this paper, various swarm based algorithms like conventional Particle Swarm Optimization (PSO), Improved Particle Swarm Optimization (IPSO) and another novel Improved Particle Swarm Optimization with Wavelet Mutation (IPSOWM) have been applied for the optimal design of linear phase FIR filters. Real coded genetic algorithm (RGA) has also been adopted for the sake of comparison. IPSO uses new definition for the velocity vector. Whereas in addition to the above-mentioned new definition added in IPSO, IPSOWM incorporates a new definition of swarm updating with the help of wavelet mutation based on wavelet theory. Wavelet mutation enhances the PSO to explore the solution space more effectively compared to the other optimization methods. IPSOWM is apparently free from getting trapped at local optima and premature convergence. Low pass (LP), high pass (HP), band pass (BP) and band stop (BS) FIR filters are designed with the proposed IPSOWM and other afore-mentioned algorithms individually for comparative optimization performance. A comparison of simulation results reveals the optimization efficacy of the IPSOWM over the other optimization techniques for the solution of the multimodal, non-differentiable, highly non-linear, and constrained FIR filter design problems.
Keywords: FIR filter, IPSO, wavelet mutation, IPSOWM, evolutionary optimization technique, magnitude response, convergence, low pass, high pass, band pass, band stop
DOI: 10.3233/HIS-2012-00158
Journal: International Journal of Hybrid Intelligent Systems, vol. 9, no. 4, pp. 211-227, 2012
IOS Press, Inc.
6751 Tepper Drive
Clifton, VA 20124
USA
Tel: +1 703 830 6300
Fax: +1 703 830 2300
sales@iospress.com
For editorial issues, like the status of your submitted paper or proposals, write to editorial@iospress.nl
IOS Press
Nieuwe Hemweg 6B
1013 BG Amsterdam
The Netherlands
Tel: +31 20 688 3355
Fax: +31 20 687 0091
info@iospress.nl
For editorial issues, permissions, book requests, submissions and proceedings, contact the Amsterdam office info@iospress.nl
Inspirees International (China Office)
Ciyunsi Beili 207(CapitaLand), Bld 1, 7-901
100025, Beijing
China
Free service line: 400 661 8717
Fax: +86 10 8446 7947
china@iospress.cn
For editorial issues, like the status of your submitted paper or proposals, write to editorial@iospress.nl
如果您在出版方面需要帮助或有任何建, 件至: editorial@iospress.nl