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Conference Paper: A robust M-estimate adaptive filter for impulse noise suppression

TitleA robust M-estimate adaptive filter for impulse noise suppression
Authors
Zou, YChan, SCNg, TS
KeywordsEngineering
Electrical engineering
Issue Date1999
PublisherIEEE.
Citation
The 1999 IEEE International Conference on Acoustics, Speech and Signal Processing, Phoenix, AZ., 15-19 March 1999. In IEEE International Conference on Acoustics, Speech and Signal Processing Proceedings, 1999, v. 4, p. 1765-1768 How to Cite?
DOI: http://dx.doi.org/10.1109/ICASSP.1999.758261
AbstractIn this paper, a robust M-estimate adaptive filter for impulse noise suppression is proposed. The objective function used is based on a robust M-estimate. It has the ability to ignore or down weight large signal error when certain thresholds are exceeded. A systematic method for estimating such thresholds is also proposed. An advantage of the proposed method is that its solution is governed by a system of linear equations. Therefore, fast adaptation algorithms for traditional linear adaptive filters can be applied. In particular, a M-estimate recursive least square (M-RLS) adaptive algorithm is studied in detail. Simulation results show that it is more robust against individual and consecutive impulse noise than the MN-LMS and the N-RLS algorithms. It also has fast convergence speed and a low steady state error similar to its RLS counterpart.
Persistent Identifierhttp://hdl.handle.net/10722/46249
ISSN
1520-6149

 

DC FieldValueLanguage
dc.contributor.authorZou, Yen_HK
dc.contributor.authorChan, SCen_HK
dc.contributor.authorNg, TSen_HK
dc.date.accessioned2007-10-30T06:45:44Z-
dc.date.available2007-10-30T06:45:44Z-
dc.date.issued1999en_HK
dc.identifier.citationThe 1999 IEEE International Conference on Acoustics, Speech and Signal Processing, Phoenix, AZ., 15-19 March 1999. In IEEE International Conference on Acoustics, Speech and Signal Processing Proceedings, 1999, v. 4, p. 1765-1768en_HK
dc.identifier.issn1520-6149en_HK
dc.identifier.urihttp://hdl.handle.net/10722/46249-
dc.description.abstractIn this paper, a robust M-estimate adaptive filter for impulse noise suppression is proposed. The objective function used is based on a robust M-estimate. It has the ability to ignore or down weight large signal error when certain thresholds are exceeded. A systematic method for estimating such thresholds is also proposed. An advantage of the proposed method is that its solution is governed by a system of linear equations. Therefore, fast adaptation algorithms for traditional linear adaptive filters can be applied. In particular, a M-estimate recursive least square (M-RLS) adaptive algorithm is studied in detail. Simulation results show that it is more robust against individual and consecutive impulse noise than the MN-LMS and the N-RLS algorithms. It also has fast convergence speed and a low steady state error similar to its RLS counterpart.en_HK
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dc.format.mimetypetext/plain-
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dc.languageengen_HK
dc.publisherIEEE.en_HK
dc.relation.ispartofIEEE International Conference on Acoustics, Speech and Signal Processing Proceedings-
dc.rights©1999 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.-
dc.subjectEngineeringen_HK
dc.subjectElectrical engineeringen_HK
dc.titleA robust M-estimate adaptive filter for impulse noise suppressionen_HK
dc.typeConference_Paperen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=1520-6149&volume=4&spage=1765&epage=1768&date=1999&atitle=A+robust+M-estimate+adaptive+filter+for+impulse+noise+suppressionen_HK
dc.description.naturepublished_or_final_versionen_HK
dc.identifier.doi10.1109/ICASSP.1999.758261en_HK
dc.identifier.hkuros60477-
dc.identifier.volume4-
dc.identifier.spage1765-
dc.identifier.epage1768-
dc.identifier.issnl1520-6149-

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