LMS Adaptive Notch Filter Design Based on Immune Algorithm

Chen, Xiaoping; Gao, Jianfeng

doi:10.1007/978-3-540-28647-9_53

LMS Adaptive Notch Filter Design Based on Immune Algorithm

Xiaoping Chen¹⁹ &
Jianfeng Gao¹⁹

Conference paper

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3173))

Abstract

In LMS algorithm of adaptive filter design, how to determine the learning step is an unpleasant problem. In this paper an application of Immune Algorithm (IA) to LMS Adaptive notch filter design is presented. The steps of the IA’s realization and the experimental data are shown with an example. The result of the experiment has shown that the IA can find the optimal learning step of the LMS adaptive notch filter and the convergent speed of algorithm is fast.

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References

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Authors and Affiliations

School of Electronics & Information Engineering, Soochow University, 178, GanJiang Road, Suzhou, Jiangsu, 215021, P. R. China
Xiaoping Chen & Jianfeng Gao

Authors

Xiaoping Chen
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Jianfeng Gao
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Editors and Affiliations

School of Electronic and Information Engineering, Dalian University of Technology, 116023, Dalian, China
Fu-Liang Yin
Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, China
Jun Wang
School of Electronic and Information Engineering, Dalian University of Technology, 116023, Dalian, Liaoning, China
Chengan Guo

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Chen, X., Gao, J. (2004). LMS Adaptive Notch Filter Design Based on Immune Algorithm. In: Yin, FL., Wang, J., Guo, C. (eds) Advances in Neural Networks – ISNN 2004. ISNN 2004. Lecture Notes in Computer Science, vol 3173. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-28647-9_53

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DOI: https://doi.org/10.1007/978-3-540-28647-9_53
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22841-7
Online ISBN: 978-3-540-28647-9
eBook Packages: Springer Book Archive

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