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Conference Paper: A new switch-mode noise-constrained transform domain NLMS adaptive filtering algorithm

TitleA new switch-mode noise-constrained transform domain NLMS adaptive filtering algorithm
Authors
KeywordsAdaptive filtering algorithms
Arithmetic complexity
Automatic threshold selection
Convergence behaviors
Convergence conditions
Issue Date2011
PublisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000089
Citation
The 2011 IEEE International Symposium on Circuits and Systems (ISCAS), Rio de Janeiro, Brazil, 15-18 May 2011. In Proceedings of ISCAS, 2011, p. 117-120 How to Cite?
AbstractThe transform domain normalized least mean squares (TDNLMS) algorithm is an efficient adaptive algorithm, which offers fast convergence speed with a reasonably low arithmetic complexity. However, its convergence speed is usually limited by the fixed step-size so as to achieve a low desired misadjustment. In this paper a new switch-mode noise-constrained TDNLMS (SNC-TDNLMS) algorithm is proposed. It employs a maximum step-size mode in initial convergence and a noise-constrained mode afterwards to improve the convergence speed and steady-state performance. The mean and mean square convergence behaviors of the proposed algorithm are studied to characterize its convergence condition and steady-state excess mean square error (EMSE). Based on the theoretical results, an automatic threshold selection scheme for mode switching is developed. Computer simulations are conducted to show the effectiveness of the proposed algorithm and verify the theoretical results. © 2011 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/143311
ISSN
References

 

DC FieldValueLanguage
dc.contributor.authorChan, SCen_HK
dc.contributor.authorChu, YJen_HK
dc.contributor.authorTsui, KMen_HK
dc.contributor.authorZhang, ZGen_HK
dc.date.accessioned2011-11-22T08:29:42Z-
dc.date.available2011-11-22T08:29:42Z-
dc.date.issued2011en_HK
dc.identifier.citationThe 2011 IEEE International Symposium on Circuits and Systems (ISCAS), Rio de Janeiro, Brazil, 15-18 May 2011. In Proceedings of ISCAS, 2011, p. 117-120en_HK
dc.identifier.issn0271-4310en_HK
dc.identifier.urihttp://hdl.handle.net/10722/143311-
dc.description.abstractThe transform domain normalized least mean squares (TDNLMS) algorithm is an efficient adaptive algorithm, which offers fast convergence speed with a reasonably low arithmetic complexity. However, its convergence speed is usually limited by the fixed step-size so as to achieve a low desired misadjustment. In this paper a new switch-mode noise-constrained TDNLMS (SNC-TDNLMS) algorithm is proposed. It employs a maximum step-size mode in initial convergence and a noise-constrained mode afterwards to improve the convergence speed and steady-state performance. The mean and mean square convergence behaviors of the proposed algorithm are studied to characterize its convergence condition and steady-state excess mean square error (EMSE). Based on the theoretical results, an automatic threshold selection scheme for mode switching is developed. Computer simulations are conducted to show the effectiveness of the proposed algorithm and verify the theoretical results. © 2011 IEEE.en_HK
dc.languageengen_US
dc.publisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000089-
dc.relation.ispartofProceedings of the IEEE International Symposium on Circuits and Systems, ISCAS 2011en_HK
dc.rightsIEEE International Symposium on Circuits and Systems Proceedings. Copyright © IEEE.-
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.rights©2011 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.subjectAdaptive filtering algorithmsen_US
dc.subjectArithmetic complexityen_US
dc.subjectAutomatic threshold selectionen_US
dc.subjectConvergence behaviorsen_US
dc.subjectConvergence conditions-
dc.titleA new switch-mode noise-constrained transform domain NLMS adaptive filtering algorithmen_HK
dc.typeConference_Paperen_HK
dc.identifier.emailChan, SC:scchan@eee.hku.hken_HK
dc.identifier.emailTsui, KM:kmtsui@eee.hku.hken_HK
dc.identifier.emailZhang, ZG:zgzhang@eee.hku.hken_HK
dc.identifier.authorityChan, SC=rp00094en_HK
dc.identifier.authorityTsui, KM=rp00181en_HK
dc.identifier.authorityZhang, ZG=rp01565en_HK
dc.description.naturepublished_or_final_versionen_US
dc.identifier.doi10.1109/ISCAS.2011.5937515en_HK
dc.identifier.scopuseid_2-s2.0-79960885446en_HK
dc.identifier.hkuros193030-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-79960885446&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.spage117en_HK
dc.identifier.epage120en_HK
dc.description.otherThe 2011 IEEE International Symposium on Circuits and Systems (ISCAS), Rio de Janeiro, Brazil, 15-18 May 2011. In Proceedings of ISCAS, 2011, p. 117-120-
dc.identifier.scopusauthoridChan, SC=13310287100en_HK
dc.identifier.scopusauthoridChu, YJ=35098281800en_HK
dc.identifier.scopusauthoridTsui, KM=7101671591en_HK
dc.identifier.scopusauthoridZhang, ZG=8597618700en_HK

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