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Conference Paper: A new recursive algorithm for estimating the adaptive function coefficients autoregressive (AFAR) models in impulsive noise environment

TitleA new recursive algorithm for estimating the adaptive function coefficients autoregressive (AFAR) models in impulsive noise environment
Authors
Chan, SCLau, WYLeung, CH
Issue Date2006
PublisherProc. of IEEE ISCAS' 2006.
Citation
Proceedings - Ieee International Symposium On Circuits And Systems, 2006, p. 4252-4255 How to Cite?
AbstractThis paper proposes a new recursive algorithm for estimating the adaptive function coefficients autoregressive (AFAR) models. Due to its recursive nature, its arithmetic complexity is relatively lower than conventional methods. Furthermore, a new M-estimation-based AFAR parameter estimation algorithm is developed to suppress the effect of impulsive outliers. Simulation results show that the M-estimation-based algorithm offers improved performance than the conventional LS-based algorithm. © 2006 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/99287
ISSN
0271-4310
2020 SCImago Journal Rankings: 0.229
References
References in Scopus

 

DC FieldValueLanguage
dc.contributor.authorChan, SCen_HK
dc.contributor.authorLau, WYen_HK
dc.contributor.authorLeung, CHen_HK
dc.date.accessioned2010-09-25T18:23:31Z-
dc.date.available2010-09-25T18:23:31Z-
dc.date.issued2006en_HK
dc.identifier.citationProceedings - Ieee International Symposium On Circuits And Systems, 2006, p. 4252-4255en_HK
dc.identifier.issn0271-4310en_HK
dc.identifier.urihttp://hdl.handle.net/10722/99287-
dc.description.abstractThis paper proposes a new recursive algorithm for estimating the adaptive function coefficients autoregressive (AFAR) models. Due to its recursive nature, its arithmetic complexity is relatively lower than conventional methods. Furthermore, a new M-estimation-based AFAR parameter estimation algorithm is developed to suppress the effect of impulsive outliers. Simulation results show that the M-estimation-based algorithm offers improved performance than the conventional LS-based algorithm. © 2006 IEEE.en_HK
dc.languageengen_HK
dc.publisherProc. of IEEE ISCAS' 2006.en_HK
dc.relation.ispartofProceedings - IEEE International Symposium on Circuits and Systemsen_HK
dc.titleA new recursive algorithm for estimating the adaptive function coefficients autoregressive (AFAR) models in impulsive noise environmenten_HK
dc.typeConference_Paperen_HK
dc.identifier.emailChan, SC:scchan@eee.hku.hken_HK
dc.identifier.emailLeung, CH:chleung@eee.hku.hken_HK
dc.identifier.authorityChan, SC=rp00094en_HK
dc.identifier.authorityLeung, CH=rp00146en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.scopuseid_2-s2.0-34547379336en_HK
dc.identifier.hkuros121330en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-34547379336&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.spage4252en_HK
dc.identifier.epage4255en_HK
dc.identifier.scopusauthoridChan, SC=13310287100en_HK
dc.identifier.scopusauthoridLau, WY=13608386400en_HK
dc.identifier.scopusauthoridLeung, CH=7402612415en_HK
dc.identifier.issnl0271-4310-

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