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Conference Paper: A wavelet based partial update fast LMS/Newton algorithm

TitleA wavelet based partial update fast LMS/Newton algorithm
Authors
Zhou, YChan, SCHo, KL
Issue Date2005
PublisherIEEE.
Citation
Proceedings of 2005 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS 2005), Hong Kong, China, 13-16 December 2005. In Conference Proceedings, 2005, p. 817-820 How to Cite?
DOI: http://dx.doi.org/10.1109/ISPACS.2005.1595535
AbstractThis paper studies a wavelet based partial update fast LMS/Newton algorithm. Different from the conventional fast LMS/Newton algorithm, the proposed algorithm first uses a shorter-order, partial Haar transform-based NLMS adaptive filter to estimate the peak position of the long, sparse channel impulse response, and then employs the fast LMS/Newton algorithm integrated with partial update technique to fulfill the rest convergence task. The experimental results demonstrate the proposed algorithm outperforms its conventional counterpart in convergence performance and possesses a significantly lower computational complexity. © 2005 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/45923
References
References in Scopus

 

DC FieldValueLanguage
dc.contributor.authorZhou, Yen_HK
dc.contributor.authorChan, SCen_HK
dc.contributor.authorHo, KLen_HK
dc.date.accessioned2007-10-30T06:38:34Z-
dc.date.available2007-10-30T06:38:34Z-
dc.date.issued2005en_HK
dc.identifier.citationProceedings of 2005 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS 2005), Hong Kong, China, 13-16 December 2005. In Conference Proceedings, 2005, p. 817-820en_HK
dc.identifier.urihttp://hdl.handle.net/10722/45923-
dc.description.abstractThis paper studies a wavelet based partial update fast LMS/Newton algorithm. Different from the conventional fast LMS/Newton algorithm, the proposed algorithm first uses a shorter-order, partial Haar transform-based NLMS adaptive filter to estimate the peak position of the long, sparse channel impulse response, and then employs the fast LMS/Newton algorithm integrated with partial update technique to fulfill the rest convergence task. The experimental results demonstrate the proposed algorithm outperforms its conventional counterpart in convergence performance and possesses a significantly lower computational complexity. © 2005 IEEE.en_HK
dc.languageengen_HK
dc.publisherIEEE.en_HK
dc.relation.ispartofIEEE International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)en_HK
dc.rights©2005 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.titleA wavelet based partial update fast LMS/Newton algorithmen_HK
dc.typeConference_Paperen_HK
dc.identifier.emailChan, SC:scchan@eee.hku.hken_HK
dc.identifier.emailHo, KL:klho@eee.hku.hken_HK
dc.identifier.authorityChan, SC=rp00094en_HK
dc.identifier.authorityHo, KL=rp00117en_HK
dc.description.naturepublished_or_final_versionen_HK
dc.identifier.doi10.1109/ISPACS.2005.1595535en_HK
dc.identifier.scopuseid_2-s2.0-33847189233en_HK
dc.identifier.hkuros121316-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-33847189233&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume2005en_HK
dc.identifier.spage817en_HK
dc.identifier.epage820en_HK
dc.identifier.scopusauthoridZhou, Y=8862218900en_HK
dc.identifier.scopusauthoridChan, SC=13310287100en_HK
dc.identifier.scopusauthoridHo, KL=7403581592en_HK
dc.customcontrol.immutablesml 151023 - merged-

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