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Article: Steady-state performance analysis for adaptive filters with error nonlinearities

TitleSteady-state performance analysis for adaptive filters with error nonlinearities
Authors
Lin, BHe, RSong, LWang, B
KeywordsAdaptive Filters
Mean-Square Error
Steady-State Analysis
Taylor Series Expression
Tracking Performance
Issue Date2009
PublisherIEEE
Citation
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 2009, p. 3093-3096 How to Cite?
DOI: http://dx.doi.org/10.1109/ICASSP.2009.4960278
AbstractA unified approach to the steady-state mean square error (MSE) and tracking performance analyses for real and complex adaptive filtes with error nonlinearities is developed. Some general closed-form analytical expressions for the steady-state performances are given. Our analyses are based on Taylor series expansion and and so-called complex Brandwood-form series expansion (BSE). Under these general explicit expressions, some well-known adaptive filters can be viewed as special cases. In addition, the closed-form analytical expressions for the steady-state performance for real and complex least-mean p-power (LMP) algorithm with different choices of parameter p are also given. A mass of simulations show the accuration of our analyses. ©2009 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/90926
ISSN
1520-6149
ISI Accession Number ID
WOS:000268919201313
References
References in Scopus

 

DC FieldValueLanguage
dc.contributor.authorLin, Ben_HK
dc.contributor.authorHe, Ren_HK
dc.contributor.authorSong, Len_HK
dc.contributor.authorWang, Ben_HK
dc.date.accessioned2010-09-17T10:10:27Z-
dc.date.available2010-09-17T10:10:27Z-
dc.date.issued2009en_HK
dc.identifier.citationICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 2009, p. 3093-3096en_HK
dc.identifier.issn1520-6149en_HK
dc.identifier.urihttp://hdl.handle.net/10722/90926-
dc.description.abstractA unified approach to the steady-state mean square error (MSE) and tracking performance analyses for real and complex adaptive filtes with error nonlinearities is developed. Some general closed-form analytical expressions for the steady-state performances are given. Our analyses are based on Taylor series expansion and and so-called complex Brandwood-form series expansion (BSE). Under these general explicit expressions, some well-known adaptive filters can be viewed as special cases. In addition, the closed-form analytical expressions for the steady-state performance for real and complex least-mean p-power (LMP) algorithm with different choices of parameter p are also given. A mass of simulations show the accuration of our analyses. ©2009 IEEE.en_HK
dc.languageengen_HK
dc.publisherIEEEen_HK
dc.relation.ispartofICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedingsen_HK
dc.subjectAdaptive Filtersen_HK
dc.subjectMean-Square Erroren_HK
dc.subjectSteady-State Analysisen_HK
dc.subjectTaylor Series Expressionen_HK
dc.subjectTracking Performanceen_HK
dc.titleSteady-state performance analysis for adaptive filters with error nonlinearitiesen_HK
dc.typeArticleen_HK
dc.identifier.emailLin, B:blin@hku.hken_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/ICASSP.2009.4960278en_HK
dc.identifier.scopuseid_2-s2.0-70349198997en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-70349198997&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.spage3093en_HK
dc.identifier.epage3096en_HK
dc.identifier.isiWOS:000268919201313-
dc.identifier.issnl1520-6149-

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