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Conference Paper: Convergence analysis of the recursive least M-estimate adaptive filtering algorithm for impulse noise suppression

TitleConvergence analysis of the recursive least M-estimate adaptive filtering algorithm for impulse noise suppression
Authors
Issue Date2002
PublisherIEEE.
Citation
The 14th International Conference on Digital Signal Processing, Santorini, Greece, 1-3 July 2002, v. 2, p. 663-666 How to Cite?
AbstractWe present the convergence analysis of the recursive least M-estimate (RLM) adaptive filter algorithm, which was recently proposed for robust adaptive filtering in the impulse noise environment. The mean and mean squares behaviors of the RLM algorithm, based on the modified Huber M-estimate function (MHF), in the contaminated Gaussian (CG) noise model are analyzed. Close-form expressions are derived. The simulation and theoretical results agree very well with each other and suggest that the RLM algorithm is more robust than the RLS algorithm under the CG noise model.
Persistent Identifierhttp://hdl.handle.net/10722/46392

 

DC FieldValueLanguage
dc.contributor.authorChan, SCen_HK
dc.contributor.authorZou, YXen_HK
dc.date.accessioned2007-10-30T06:48:53Z-
dc.date.available2007-10-30T06:48:53Z-
dc.date.issued2002en_HK
dc.identifier.citationThe 14th International Conference on Digital Signal Processing, Santorini, Greece, 1-3 July 2002, v. 2, p. 663-666en_HK
dc.identifier.urihttp://hdl.handle.net/10722/46392-
dc.description.abstractWe present the convergence analysis of the recursive least M-estimate (RLM) adaptive filter algorithm, which was recently proposed for robust adaptive filtering in the impulse noise environment. The mean and mean squares behaviors of the RLM algorithm, based on the modified Huber M-estimate function (MHF), in the contaminated Gaussian (CG) noise model are analyzed. Close-form expressions are derived. The simulation and theoretical results agree very well with each other and suggest that the RLM algorithm is more robust than the RLS algorithm under the CG noise model.en_HK
dc.format.extent350921 bytes-
dc.format.extent27162 bytes-
dc.format.mimetypeapplication/pdf-
dc.format.mimetypetext/plain-
dc.languageengen_HK
dc.publisherIEEE.en_HK
dc.relation.ispartofInternational Conference on Digital Signal Processing-
dc.rights©2002 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.titleConvergence analysis of the recursive least M-estimate adaptive filtering algorithm for impulse noise suppressionen_HK
dc.typeConference_Paperen_HK
dc.description.naturepublished_or_final_versionen_HK
dc.identifier.doi10.1109/ICDSP.2002.1028178en_HK
dc.identifier.hkuros82533-

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