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Conference Paper: New sequential partial update switch-mode noise-constrained nlms adaptive filtering algorithms

TitleNew sequential partial update switch-mode noise-constrained nlms adaptive filtering algorithms
Authors
KeywordsAdaptive filtering algorithms
Arithmetic complexity
Automatic threshold selection
Convergence behaviors
Convergence conditions
Issue Date2010
PublisherIEEE.
Citation
The 10th International Symposium on Communications and Information Technologies (ISCIT 2010), Tokyo, Japan, 26-29 October 2010. In Proceedings of 10th ISCIT, 2010, p. 435-440 How to Cite?
AbstractThe sequential partial update LMS (S-LMS)-based algorithms are efficient adaptive filtering algorithms for reducing the high arithmetic complexity in acoustic and related applications. A limitation of the algorithms is the degraded convergence speed. In this paper, a new family of sequential partial update switch-mode noise-constrained NLMS (S-SNCNLMS) algorithms is proposed. These algorithms use a new variable step-size (VSS) method to increase the convergence speed of the traditional partial update algorithms while achieving the same steady-state excess mean square error (EMSE). It employs a maximum step-size to improve the initial convergence and exploits the prior knowledge of the additive noise variance as in the noise-constrained (NC) approach near convergence. The mean and mean square convergence behaviors of these new switch mode algorithms are studied to characterize its convergence condition and steady-state EMSE. Based on the theoretical results, an automatic threshold selection method for mode switching is also developed. Computer simulations are conducted to verify the theoretical results and effectiveness of the proposed algorithms. ©2010 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/137730
ISBN
References

 

DC FieldValueLanguage
dc.contributor.authorChan, SCen_HK
dc.contributor.authorChu, YJen_HK
dc.contributor.authorZhang, ZGen_HK
dc.contributor.authorTsui, KMen_HK
dc.date.accessioned2011-08-26T14:32:29Z-
dc.date.available2011-08-26T14:32:29Z-
dc.date.issued2010en_HK
dc.identifier.citationThe 10th International Symposium on Communications and Information Technologies (ISCIT 2010), Tokyo, Japan, 26-29 October 2010. In Proceedings of 10th ISCIT, 2010, p. 435-440en_HK
dc.identifier.isbn978-1-4244-7010-5-
dc.identifier.urihttp://hdl.handle.net/10722/137730-
dc.description.abstractThe sequential partial update LMS (S-LMS)-based algorithms are efficient adaptive filtering algorithms for reducing the high arithmetic complexity in acoustic and related applications. A limitation of the algorithms is the degraded convergence speed. In this paper, a new family of sequential partial update switch-mode noise-constrained NLMS (S-SNCNLMS) algorithms is proposed. These algorithms use a new variable step-size (VSS) method to increase the convergence speed of the traditional partial update algorithms while achieving the same steady-state excess mean square error (EMSE). It employs a maximum step-size to improve the initial convergence and exploits the prior knowledge of the additive noise variance as in the noise-constrained (NC) approach near convergence. The mean and mean square convergence behaviors of these new switch mode algorithms are studied to characterize its convergence condition and steady-state EMSE. Based on the theoretical results, an automatic threshold selection method for mode switching is also developed. Computer simulations are conducted to verify the theoretical results and effectiveness of the proposed algorithms. ©2010 IEEE.en_HK
dc.languageengen_US
dc.publisherIEEE.-
dc.relation.ispartofProceedings of the International Symposium on Communications and Information Technologiesen_HK
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.rightsInternational Symposium on Communications and Information Technologies (ISCIT). Copyright © IEEE.-
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.subjectAdaptive filtering algorithms-
dc.subjectArithmetic complexity-
dc.subjectAutomatic threshold selection-
dc.subjectConvergence behaviors-
dc.subjectConvergence conditions-
dc.titleNew sequential partial update switch-mode noise-constrained nlms adaptive filtering algorithmsen_HK
dc.typeConference_Paperen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=978-1-4244-7010-5&volume=&spage=435&epage=440&date=2010&atitle=New+sequential+partial+update+switch-mode+noise-constrained+nlms+adaptive+filtering+algorithms-
dc.identifier.emailChan, SC:scchan@eee.hku.hken_HK
dc.identifier.emailZhang, ZG:zgzhang@eee.hku.hken_HK
dc.identifier.emailTsui, KM:kmtsui@eee.hku.hken_HK
dc.identifier.authorityChan, SC=rp00094en_HK
dc.identifier.authorityZhang, ZG=rp01565en_HK
dc.identifier.authorityTsui, KM=rp00181en_HK
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1109/ISCIT.2010.5664881en_HK
dc.identifier.scopuseid_2-s2.0-78651257816en_HK
dc.identifier.hkuros191160en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-78651257816&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.spage435en_HK
dc.identifier.epage440en_HK
dc.description.otherThe 10th International Symposium on Communications and Information Technologies (ISCIT 2010), Tokyo, Japan, 26-29 October 2010. In Proceedings of 10th ISCIT, 2010, p. 435-440-
dc.identifier.scopusauthoridChan, SC=13310287100en_HK
dc.identifier.scopusauthoridChu, YJ=35098281800en_HK
dc.identifier.scopusauthoridZhang, ZG=8597618700en_HK
dc.identifier.scopusauthoridTsui, KM=7101671591en_HK

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