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Conference Paper: A new QR-based block least mean squares (QR-BLMS) algorithm for adaptive parameter estimation

TitleA new QR-based block least mean squares (QR-BLMS) algorithm for adaptive parameter estimation
Authors
Issue Date2003
Citation
Icassp, Ieee International Conference On Acoustics, Speech And Signal Processing - Proceedings, 2003, v. 6, p. 653-656 How to Cite?
AbstractThis paper proposes a new family of QR-based block LMS (QR-BLMS) algorithms for adaptive parameter estimation. It extends the QR-based LMS (QR-LMS) algorithm by handling a block of data vectors at a time instead of one single input vector. Moreover, it is shown that when there is only one new input vector in the block and the others are obtained from previous time instants, this QR-BLMS algorithm yields a new QR-based implementation of the well-known affine projection algorithm (APA). Simulation results for an acoustic echo canceller showed that the QR-BLMS and QR-APA algorithms perform better than the QR-LMS algorithm.
Persistent Identifierhttp://hdl.handle.net/10722/158366
ISSN
References

 

DC FieldValueLanguage
dc.contributor.authorXinXing, Yen_US
dc.contributor.authorChan, SCen_US
dc.date.accessioned2012-08-08T08:59:16Z-
dc.date.available2012-08-08T08:59:16Z-
dc.date.issued2003en_US
dc.identifier.citationIcassp, Ieee International Conference On Acoustics, Speech And Signal Processing - Proceedings, 2003, v. 6, p. 653-656en_US
dc.identifier.issn0736-7791en_US
dc.identifier.urihttp://hdl.handle.net/10722/158366-
dc.description.abstractThis paper proposes a new family of QR-based block LMS (QR-BLMS) algorithms for adaptive parameter estimation. It extends the QR-based LMS (QR-LMS) algorithm by handling a block of data vectors at a time instead of one single input vector. Moreover, it is shown that when there is only one new input vector in the block and the others are obtained from previous time instants, this QR-BLMS algorithm yields a new QR-based implementation of the well-known affine projection algorithm (APA). Simulation results for an acoustic echo canceller showed that the QR-BLMS and QR-APA algorithms perform better than the QR-LMS algorithm.en_US
dc.languageengen_US
dc.relation.ispartofICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedingsen_US
dc.titleA new QR-based block least mean squares (QR-BLMS) algorithm for adaptive parameter estimationen_US
dc.typeConference_Paperen_US
dc.identifier.emailChan, SC:scchan@eee.hku.hken_US
dc.identifier.authorityChan, SC=rp00094en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.scopuseid_2-s2.0-0141742299en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0141742299&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume6en_US
dc.identifier.spage653en_US
dc.identifier.epage656en_US
dc.identifier.scopusauthoridXinXing, Y=6507037989en_US
dc.identifier.scopusauthoridChan, SC=13310287100en_US

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