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Article: Transform domain adaptive Volterra filter algorithm based on constrained optimization

TitleTransform domain adaptive Volterra filter algorithm based on constrained optimization
Authors
Issue Date1999
Citation
Proceedings - Ieee International Symposium On Circuits And Systems, 1999, v. 3, p. III-219 - III-222 How to Cite?
AbstractIn this paper, a transform domain normalised partially decoupled LMS (TP-LMS) algorithm is proposed based on the partially decoupled transform domain Voltera filter. It is formulated by applying an orthogonal transform to the first order of the partially decoupled Volterra filter, in which the filter weights of a given order are optimised independently of those in the higher order. This approach results in solving the minimum mean square error (MSE) filtering problem as a series of constrained optimisation problem and the modular structure order by order. Simulation of a system identification application indicates TP-LMS algorithm provides a trade-off between convergence speed and computational complexity.
Persistent Identifierhttp://hdl.handle.net/10722/155097
ISSN

 

DC FieldValueLanguage
dc.contributor.authorZou, Yuexianen_US
dc.contributor.authorChan, ShingChowen_US
dc.contributor.authorNg, TungSangen_US
dc.date.accessioned2012-08-08T08:31:51Z-
dc.date.available2012-08-08T08:31:51Z-
dc.date.issued1999en_US
dc.identifier.citationProceedings - Ieee International Symposium On Circuits And Systems, 1999, v. 3, p. III-219 - III-222en_US
dc.identifier.issn0271-4310en_US
dc.identifier.urihttp://hdl.handle.net/10722/155097-
dc.description.abstractIn this paper, a transform domain normalised partially decoupled LMS (TP-LMS) algorithm is proposed based on the partially decoupled transform domain Voltera filter. It is formulated by applying an orthogonal transform to the first order of the partially decoupled Volterra filter, in which the filter weights of a given order are optimised independently of those in the higher order. This approach results in solving the minimum mean square error (MSE) filtering problem as a series of constrained optimisation problem and the modular structure order by order. Simulation of a system identification application indicates TP-LMS algorithm provides a trade-off between convergence speed and computational complexity.en_US
dc.languageengen_US
dc.relation.ispartofProceedings - IEEE International Symposium on Circuits and Systemsen_US
dc.titleTransform domain adaptive Volterra filter algorithm based on constrained optimizationen_US
dc.typeArticleen_US
dc.identifier.emailChan, ShingChow:scchan@eee.hku.hken_US
dc.identifier.emailNg, TungSang:tsng@eee.hku.hken_US
dc.identifier.authorityChan, ShingChow=rp00094en_US
dc.identifier.authorityNg, TungSang=rp00159en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.scopuseid_2-s2.0-0032643594en_US
dc.identifier.volume3en_US
dc.identifier.spageIIIen_US
dc.identifier.epage219en_US
dc.identifier.scopusauthoridZou, Yuexian=7402166847en_US
dc.identifier.scopusauthoridChan, ShingChow=13310287100en_US
dc.identifier.scopusauthoridNg, TungSang=7402229975en_US

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