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Conference Paper: A new regularized transform-domain NLMS adaptive filtering algorithm

TitleA new regularized transform-domain NLMS adaptive filtering algorithm
Authors
KeywordsNLMS
performance analysis
Regularization
transform domain
Issue Date2010
PublisherIEEE.
Citation
The 2010 IEEE Asia Pacific Conference on Circuits and Systems (APCCAS 2010), Kuala Lumpur, Malaysia, 6-9 December 2010. In Proceedings of APCCAS, 2010, p. 696-699 How to Cite?
AbstractThe transform domain normalized LMS (TD-NLMS)-adaptive filtering algorithm is an efficient adaptive filter with fast convergence speed and reasonably low arithmetic complexity. However, it is sensitive to the level of the excitation signal, which may vary significantly over time in speech and audio signals. This paper proposes a new regularized transform domain NLMS (R-TDNLMS) algorithm and studies its mean and mean square convergence performance. The proposed algorithm extends the conventional TDNLMS algorithm by imposing a regularization term on the coefficients to reduce the variance of the estimator. The mean and mean square convergence behaviors of the proposed algorithm are studied to characterize its convergence condition and steady-state excess mean squares error (MSE). It shows that regularization can help to reduce the MSE for coloured inputs by trading slight bias for variance. Moreover, the immunity to varying input signal level is significantly reduced. Computer simulations are conducted to examine the effectiveness of the proposed algorithm and they are in good agreement with the theoretical analysis. © 2010 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/137728
ISBN
References

 

DC FieldValueLanguage
dc.contributor.authorChan, SCen_HK
dc.contributor.authorChu, YJen_HK
dc.contributor.authorZhang, ZGen_HK
dc.date.accessioned2011-08-26T14:32:28Z-
dc.date.available2011-08-26T14:32:28Z-
dc.date.issued2010en_HK
dc.identifier.citationThe 2010 IEEE Asia Pacific Conference on Circuits and Systems (APCCAS 2010), Kuala Lumpur, Malaysia, 6-9 December 2010. In Proceedings of APCCAS, 2010, p. 696-699en_HK
dc.identifier.isbn978-1-4244-7456-1-
dc.identifier.urihttp://hdl.handle.net/10722/137728-
dc.description.abstractThe transform domain normalized LMS (TD-NLMS)-adaptive filtering algorithm is an efficient adaptive filter with fast convergence speed and reasonably low arithmetic complexity. However, it is sensitive to the level of the excitation signal, which may vary significantly over time in speech and audio signals. This paper proposes a new regularized transform domain NLMS (R-TDNLMS) algorithm and studies its mean and mean square convergence performance. The proposed algorithm extends the conventional TDNLMS algorithm by imposing a regularization term on the coefficients to reduce the variance of the estimator. The mean and mean square convergence behaviors of the proposed algorithm are studied to characterize its convergence condition and steady-state excess mean squares error (MSE). It shows that regularization can help to reduce the MSE for coloured inputs by trading slight bias for variance. Moreover, the immunity to varying input signal level is significantly reduced. Computer simulations are conducted to examine the effectiveness of the proposed algorithm and they are in good agreement with the theoretical analysis. © 2010 IEEE.en_HK
dc.languageengen_US
dc.publisherIEEE.-
dc.relation.ispartofProceedings of the IEEE Asia-Pacific Conference on Circuits and Systemsen_HK
dc.rightsIEEE Asia-Pacific Conference on Circuits and Systems Proceedings. Copyright © IEEE.-
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.rights©2010 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.-
dc.subjectNLMSen_HK
dc.subjectperformance analysisen_HK
dc.subjectRegularizationen_HK
dc.subjecttransform domainen_HK
dc.titleA new regularized transform-domain NLMS adaptive filtering algorithmen_HK
dc.typeConference_Paperen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=978-1-4244-7456-1&volume=&spage=696&epage=699&date=2010&atitle=A+new+regularized+transform-domain+NLMS+adaptive+filtering+algorithm-
dc.identifier.emailChan, SC:scchan@eee.hku.hken_HK
dc.identifier.emailZhang, ZG:zgzhang@eee.hku.hken_HK
dc.identifier.authorityChan, SC=rp00094en_HK
dc.identifier.authorityZhang, ZG=rp01565en_HK
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1109/APCCAS.2010.5774985en_HK
dc.identifier.scopuseid_2-s2.0-79959216418en_HK
dc.identifier.hkuros191154en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-79959216418&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.spage696en_HK
dc.identifier.epage699en_HK
dc.description.otherThe 2010 IEEE Asia Pacific Conference on Circuits and Systems (APCCAS 2010), Kuala Lumpur, Malaysia, 6-9 December 2010. In Proceedings of APCCAS, 2010, p. 696-699-
dc.identifier.scopusauthoridChan, SC=13310287100en_HK
dc.identifier.scopusauthoridChu, YJ=35098281800en_HK
dc.identifier.scopusauthoridZhang, ZG=8597618700en_HK

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