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Article: The steady-state mean-square error analysis for least mean p-order algorithm

TitleThe steady-state mean-square error analysis for least mean p-order algorithm
Authors
Lin, BHe, RWang, XWang, B
KeywordsEnergy Conservation
Mean-Square Error
Steadystate Analysis
Taylor Series Expression
Issue Date2009
PublisherIEEE
Citation
IEEE Signal Processing Letters, 2009, v. 16 n. 3, p. 176-179 How to Cite?
DOI: http://dx.doi.org/10.1109/LSP.2008.2011701
AbstractBased on series expansion, the steady-state mean-square error (MSE) analysis for real and complex least mean p-order (LMP) algorithm is developed, and some closed-form analytical expressions for the steady-state MSE and the corresponding restrictive conditions for step-size are given. Moreover, in Gaussian noise environments, its steady-state performance is also investigated. The analyses for some well-known algorithms and the computer simulation validate the accuracy of the results. © 2009 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/91022
ISSN
1070-9908
2021 Impact Factor: 3.201
2020 SCImago Journal Rankings: 0.815
ISI Accession Number ID
WOS:000265977900044
Funding AgencyGrant Number
Natural Science Foundation of Liaoning20085027
Science Research Program of Educational Department of Liaoning20085027
Funding Information:

This work was supported in part by the Natural Science Foundation of Liaoning under grant No. 20082142 and in part by the Science Research Program of Educational Department of Liaoning under grant No. 20085027.

References
References in Scopus

 

DC FieldValueLanguage
dc.contributor.authorLin, Ben_HK
dc.contributor.authorHe, Ren_HK
dc.contributor.authorWang, Xen_HK
dc.contributor.authorWang, Ben_HK
dc.date.accessioned2010-09-17T10:11:52Z-
dc.date.available2010-09-17T10:11:52Z-
dc.date.issued2009en_HK
dc.identifier.citationIEEE Signal Processing Letters, 2009, v. 16 n. 3, p. 176-179en_HK
dc.identifier.issn1070-9908en_HK
dc.identifier.urihttp://hdl.handle.net/10722/91022-
dc.description.abstractBased on series expansion, the steady-state mean-square error (MSE) analysis for real and complex least mean p-order (LMP) algorithm is developed, and some closed-form analytical expressions for the steady-state MSE and the corresponding restrictive conditions for step-size are given. Moreover, in Gaussian noise environments, its steady-state performance is also investigated. The analyses for some well-known algorithms and the computer simulation validate the accuracy of the results. © 2009 IEEE.en_HK
dc.languageengen_HK
dc.publisherIEEEen_HK
dc.relation.ispartofIEEE Signal Processing Lettersen_HK
dc.subjectEnergy Conservationen_HK
dc.subjectMean-Square Erroren_HK
dc.subjectSteadystate Analysisen_HK
dc.subjectTaylor Series Expressionen_HK
dc.titleThe steady-state mean-square error analysis for least mean p-order algorithmen_HK
dc.typeArticleen_HK
dc.identifier.emailLin, B:blin@hku.hken_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/LSP.2008.2011701en_HK
dc.identifier.scopuseid_2-s2.0-60849137850en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-60849137850&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume16en_HK
dc.identifier.issue3en_HK
dc.identifier.spage176en_HK
dc.identifier.epage179en_HK
dc.identifier.isiWOS:000265977900044-
dc.identifier.issnl1070-9908-

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