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Conference Paper: Recursive estimation of exponential signals in impulsive noise using M-estimation

TitleRecursive estimation of exponential signals in impulsive noise using M-estimation
Authors
Zhang, ZChan, SC
KeywordsComputers
Circuits
Issue Date2004
PublisherIEEE.
Citation
Midwest Symposium On Circuits And Systems, 2004, v. 2, p. II145-II148 How to Cite?
DOI: http://dx.doi.org/10.1109/MWSCAS.2004.1354112
AbstractThis paper proposes a robust method for recursive estimating the frequencies and amplitudes of an exponential signal model under impulsive noise. Using the concept of M-estimation, a recursive algorithm based on the recursive least M-estimate (RLM) is developed. Simulation results show that the proposed method performs better than that of the conventional least square method under impulsive noise environment. The algorithm also possesses low arithmetic complexity due to its recursive nature.
DescriptionThe 47th Midwest Symposium on Circuits and Systems Conference, Salt Lake City, Utah, USA, 25-28 July 2004
Persistent Identifierhttp://hdl.handle.net/10722/46437
ISSN
1548-3746
2020 SCImago Journal Rankings: 0.181
References
References in Scopus

 

DC FieldValueLanguage
dc.contributor.authorZhang, Zen_HK
dc.contributor.authorChan, SCen_HK
dc.date.accessioned2007-10-30T06:49:50Z-
dc.date.available2007-10-30T06:49:50Z-
dc.date.issued2004en_HK
dc.identifier.citationMidwest Symposium On Circuits And Systems, 2004, v. 2, p. II145-II148en_HK
dc.identifier.issn1548-3746en_HK
dc.identifier.urihttp://hdl.handle.net/10722/46437-
dc.descriptionThe 47th Midwest Symposium on Circuits and Systems Conference, Salt Lake City, Utah, USA, 25-28 July 2004-
dc.description.abstractThis paper proposes a robust method for recursive estimating the frequencies and amplitudes of an exponential signal model under impulsive noise. Using the concept of M-estimation, a recursive algorithm based on the recursive least M-estimate (RLM) is developed. Simulation results show that the proposed method performs better than that of the conventional least square method under impulsive noise environment. The algorithm also possesses low arithmetic complexity due to its recursive nature.en_HK
dc.format.extent404742 bytes-
dc.format.extent27162 bytes-
dc.format.mimetypeapplication/pdf-
dc.format.mimetypetext/plain-
dc.languageengen_HK
dc.publisherIEEE.en_HK
dc.relation.ispartofMidwest Symposium on Circuits and Systemsen_HK
dc.rights©2004 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.subjectComputersen_HK
dc.subjectCircuitsen_HK
dc.titleRecursive estimation of exponential signals in impulsive noise using M-estimationen_HK
dc.typeConference_Paperen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=1548-3746&volume=2&spage=145&epage=148&date=2004&atitle=Recursive+Estimation+of+Exponential+Signals+in+Impulsive+Noise+Using+M-Estimationen_HK
dc.identifier.emailZhang, Z:zgzhang@eee.hku.hken_HK
dc.identifier.emailChan, SC:scchan@eee.hku.hken_HK
dc.identifier.authorityZhang, Z=rp01565en_HK
dc.identifier.authorityChan, SC=rp00094en_HK
dc.description.naturepublished_or_final_versionen_HK
dc.identifier.doi10.1109/MWSCAS.2004.1354112en_HK
dc.identifier.scopuseid_2-s2.0-11144290148en_HK
dc.identifier.hkuros90100-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-11144290148&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume2en_HK
dc.identifier.spageII145en_HK
dc.identifier.epageII148en_HK
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridZhang, Z=8597618700en_HK
dc.identifier.scopusauthoridChan, SC=13310287100en_HK
dc.identifier.issnl1548-3746-

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