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Article: A recursive adaptive lattice filters for impulsive signals

TitleA recursive adaptive lattice filters for impulsive signals
Authors
Li, SQiu, T-SLin, BYu, D-W
KeywordsAdaptive Algorithms
Convergence Of Numerical Methods
Random Processes
Recursive Functions
Signal Processing
Issue Date2005
Citation
IEEE Pacific RIM Conference on Communications, Computers, and Signal Processing - Proceedings, 2005, v. 2005, p. 316-319 How to Cite?
AbstractThe existence of impulsive noise with alpha-stable distributions has been addressed in many applications. Some adaptive lattice algorithms that factional lower order moments of residual errors are used to updated the filter coefficients are presented. In this paper, a new recursive adaptive lattice algorithm is proposed for adaptive filtering of alpha-stable AR processes. The performance of this algorithm is compared to that of those stochastic gradient-based algorithms. It is shown that the proposed algorithm achieves a superior convergence speed with respect to the other algorithms. © 2005 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/91025
References
References in Scopus

 

DC FieldValueLanguage
dc.contributor.authorLi, Sen_HK
dc.contributor.authorQiu, T-Sen_HK
dc.contributor.authorLin, Ben_HK
dc.contributor.authorYu, D-Wen_HK
dc.date.accessioned2010-09-17T10:11:55Z-
dc.date.available2010-09-17T10:11:55Z-
dc.date.issued2005en_HK
dc.identifier.citationIEEE Pacific RIM Conference on Communications, Computers, and Signal Processing - Proceedings, 2005, v. 2005, p. 316-319en_HK
dc.identifier.urihttp://hdl.handle.net/10722/91025-
dc.description.abstractThe existence of impulsive noise with alpha-stable distributions has been addressed in many applications. Some adaptive lattice algorithms that factional lower order moments of residual errors are used to updated the filter coefficients are presented. In this paper, a new recursive adaptive lattice algorithm is proposed for adaptive filtering of alpha-stable AR processes. The performance of this algorithm is compared to that of those stochastic gradient-based algorithms. It is shown that the proposed algorithm achieves a superior convergence speed with respect to the other algorithms. © 2005 IEEE.en_HK
dc.languageengen_HK
dc.relation.ispartofIEEE Pacific RIM Conference on Communications, Computers, and Signal Processing - Proceedingsen_HK
dc.subjectAdaptive Algorithmsen_HK
dc.subjectConvergence Of Numerical Methodsen_HK
dc.subjectRandom Processesen_HK
dc.subjectRecursive Functionsen_HK
dc.subjectSignal Processingen_HK
dc.titleA recursive adaptive lattice filters for impulsive signalsen_HK
dc.typeArticleen_HK
dc.identifier.emailLin, B:blin@hku.hken_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.scopuseid_2-s2.0-33746857760en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-33746857760&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume2005en_HK
dc.identifier.spage316en_HK
dc.identifier.epage319en_HK

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