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Conference Paper: A new block exact fast LMS/newton adaptive filtering algorithm

TitleA new block exact fast LMS/newton adaptive filtering algorithm
Authors
KeywordsComputers
Circuits
Issue Date2004
PublisherIEEE.
Citation
Midwest Symposium On Circuits And Systems, 2004, v. 2, p. II29-II32 How to Cite?
AbstractThis paper proposes a new block exact fast LMS/Newton algorithm for adaptive filtering. It is obtained by exploiting the shifting property of the whitened input of the fast LMS/Newton algorithm so that a block exact update can be carried out in the LMS part of the algorithm. The proposed algorithm has significantly reduced arithmetic complexity than but exact arithmetic equivalence to the LMS/Newton algorithm. Since short block length is allowed, the processing delay introduced is not excessively large as in conventional block filtering generalization, Implementation issues and the experimental results are given to illustrate the principle and efficiency of the proposed algorithm.
DescriptionThe 47th Midwest Symposium on Circuits and Systems Conference, Salt Lake City, Utah, USA, 25-28 July 2004
Persistent Identifierhttp://hdl.handle.net/10722/46436
ISSN
References

 

DC FieldValueLanguage
dc.contributor.authorZhou, Yen_HK
dc.contributor.authorChan, SCen_HK
dc.contributor.authorHo, KLen_HK
dc.date.accessioned2007-10-30T06:49:49Z-
dc.date.available2007-10-30T06:49:49Z-
dc.date.issued2004en_HK
dc.identifier.citationMidwest Symposium On Circuits And Systems, 2004, v. 2, p. II29-II32en_HK
dc.identifier.issn1548-3746en_HK
dc.identifier.urihttp://hdl.handle.net/10722/46436-
dc.descriptionThe 47th Midwest Symposium on Circuits and Systems Conference, Salt Lake City, Utah, USA, 25-28 July 2004-
dc.description.abstractThis paper proposes a new block exact fast LMS/Newton algorithm for adaptive filtering. It is obtained by exploiting the shifting property of the whitened input of the fast LMS/Newton algorithm so that a block exact update can be carried out in the LMS part of the algorithm. The proposed algorithm has significantly reduced arithmetic complexity than but exact arithmetic equivalence to the LMS/Newton algorithm. Since short block length is allowed, the processing delay introduced is not excessively large as in conventional block filtering generalization, Implementation issues and the experimental results are given to illustrate the principle and efficiency of the proposed algorithm.en_HK
dc.format.extent387749 bytes-
dc.format.extent2800 bytes-
dc.format.extent27162 bytes-
dc.format.mimetypeapplication/pdf-
dc.format.mimetypetext/plain-
dc.format.mimetypetext/plain-
dc.languageengen_HK
dc.publisherIEEE.en_HK
dc.relation.ispartofMidwest Symposium on Circuits and Systemsen_HK
dc.rights©2004 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.en_HK
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.subjectComputersen_HK
dc.subjectCircuitsen_HK
dc.titleA new block exact fast LMS/newton adaptive filtering algorithmen_HK
dc.typeConference_Paperen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=1548-3746&volume=2&spage=29&epage=32&date=2004&atitle=A+new+block+exact+fast+LMS/Newton+adaptive+filtering+algorithmen_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/MWSCAS.2004.1354083en_HK
dc.identifier.scopuseid_2-s2.0-11144272116en_HK
dc.identifier.hkuros90099-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-11144272116&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume2en_HK
dc.identifier.spageII29en_HK
dc.identifier.epageII32en_HK
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridZhou, Y=8862218900en_HK
dc.identifier.scopusauthoridChan, SC=13310287100en_HK
dc.identifier.scopusauthoridHo, KL=7403581592en_HK

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