A jumping genes paradigm with fuzzy rules for optimizing digital IIR filters

Sai-Ho Yeung; Kim-Fung Man

doi:10.1007/11893257_64

A jumping genes paradigm with fuzzy rules for optimizing digital IIR filters

^*Corresponding author for this work

Department of Electrical Engineering

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

1 Citation (Scopus)

Abstract

A Jumping Genes Paradigm that combines with fuzzy rules is applied for optimizing the digital IIR filters. The criteria that govern the quality of the optimization procedure are based on two basic measures. A newly formulated performance metric for the digital IIR filter is formed for checking its performance while its system order which usually reflects upon the required computational power is also adopted as another objective function for the optimization. The proposed scheme in this paper was able to obtain frequency-selective filters for lowpass, highpass, bandpass and bandstop with better performance than those previously obtained and the filter system order was also optimized with lower possible number. © Springer-Verlag Berlin Heidelberg 2006.

Original language	English
Title of host publication	Neural Information Processing
Subtitle of host publication	13th International Conference, ICONIP 2006, Hong Kong, China, October 3-6, 2006, Proceedings, Part II
Editors	Irwin King, Jun Wang, Lai-Wan Chan
Place of Publication	Berlin, Heidelberg
Publisher	Springer
Pages	568-577
ISBN (Electronic)	978-3-540-46482-2
ISBN (Print)	9783540464815
DOIs	https://doi.org/10.1007/11893257_64
Publication status	Published - 2006
Event	13th International Conference on Neural Information Processing (ICONIP 2006) - Hong Kong, China Duration: 3 Oct 2006 → 6 Oct 2006

Publication series

Name	Lecture Notes in Computer Science
Volume	4233
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	13th International Conference on Neural Information Processing (ICONIP 2006)
Place	China
City	Hong Kong
Period	3/10/06 → 6/10/06

Research Keywords

Fuzzy logic
Genetic algorithm
IIR filter

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Yeung, S.-H., & Man, K.-F. (2006). A jumping genes paradigm with fuzzy rules for optimizing digital IIR filters. In I. King, J. Wang, & L.-W. Chan (Eds.), Neural Information Processing: 13th International Conference, ICONIP 2006, Hong Kong, China, October 3-6, 2006, Proceedings, Part II (pp. 568-577). (Lecture Notes in Computer Science; Vol. 4233). Springer . https://doi.org/10.1007/11893257_64

Yeung, Sai-Ho ; Man, Kim-Fung. / A jumping genes paradigm with fuzzy rules for optimizing digital IIR filters. Neural Information Processing: 13th International Conference, ICONIP 2006, Hong Kong, China, October 3-6, 2006, Proceedings, Part II. editor / Irwin King ; Jun Wang ; Lai-Wan Chan. Berlin, Heidelberg : Springer , 2006. pp. 568-577 (Lecture Notes in Computer Science).

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abstract = "A Jumping Genes Paradigm that combines with fuzzy rules is applied for optimizing the digital IIR filters. The criteria that govern the quality of the optimization procedure are based on two basic measures. A newly formulated performance metric for the digital IIR filter is formed for checking its performance while its system order which usually reflects upon the required computational power is also adopted as another objective function for the optimization. The proposed scheme in this paper was able to obtain frequency-selective filters for lowpass, highpass, bandpass and bandstop with better performance than those previously obtained and the filter system order was also optimized with lower possible number. {\textcopyright} Springer-Verlag Berlin Heidelberg 2006.",

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author = "Sai-Ho Yeung and Kim-Fung Man",

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Yeung, S-H & Man, K-F 2006, A jumping genes paradigm with fuzzy rules for optimizing digital IIR filters. in I King, J Wang & L-W Chan (eds), Neural Information Processing: 13th International Conference, ICONIP 2006, Hong Kong, China, October 3-6, 2006, Proceedings, Part II. Lecture Notes in Computer Science, vol. 4233, Springer , Berlin, Heidelberg, pp. 568-577, 13th International Conference on Neural Information Processing (ICONIP 2006), Hong Kong, China, 3/10/06. https://doi.org/10.1007/11893257_64

A jumping genes paradigm with fuzzy rules for optimizing digital IIR filters. / Yeung, Sai-Ho; Man, Kim-Fung.
Neural Information Processing: 13th International Conference, ICONIP 2006, Hong Kong, China, October 3-6, 2006, Proceedings, Part II. ed. / Irwin King; Jun Wang; Lai-Wan Chan. Berlin, Heidelberg: Springer , 2006. p. 568-577 (Lecture Notes in Computer Science; Vol. 4233).

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

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AU - Yeung, Sai-Ho

AU - Man, Kim-Fung

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AB - A Jumping Genes Paradigm that combines with fuzzy rules is applied for optimizing the digital IIR filters. The criteria that govern the quality of the optimization procedure are based on two basic measures. A newly formulated performance metric for the digital IIR filter is formed for checking its performance while its system order which usually reflects upon the required computational power is also adopted as another objective function for the optimization. The proposed scheme in this paper was able to obtain frequency-selective filters for lowpass, highpass, bandpass and bandstop with better performance than those previously obtained and the filter system order was also optimized with lower possible number. © Springer-Verlag Berlin Heidelberg 2006.

KW - Fuzzy logic

KW - Genetic algorithm

KW - IIR filter

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M3 - RGC 32 - Refereed conference paper (with host publication)

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Yeung SH, Man KF. A jumping genes paradigm with fuzzy rules for optimizing digital IIR filters. In King I, Wang J, Chan LW, editors, Neural Information Processing: 13th International Conference, ICONIP 2006, Hong Kong, China, October 3-6, 2006, Proceedings, Part II. Berlin, Heidelberg: Springer . 2006. p. 568-577. (Lecture Notes in Computer Science). Epub 2006 Oct 3. doi: 10.1007/11893257_64

A jumping genes paradigm with fuzzy rules for optimizing digital IIR filters

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