Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/30519
DC FieldValueLanguage
dc.contributorDepartment of Applied Mathematics-
dc.creatorTseng, CH-
dc.creatorTeo, KL-
dc.creatorCantoni, A-
dc.date.accessioned2015-06-23T09:12:37Z-
dc.date.available2015-06-23T09:12:37Z-
dc.identifier.issn1053-587X-
dc.identifier.urihttp://hdl.handle.net/10397/30519-
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineersen_US
dc.subjectAdaptive EC filteren_US
dc.subjectChannel equalizationen_US
dc.subjectFIR filteren_US
dc.subjectGaussian noiseen_US
dc.subjectMSEen_US
dc.subjectPulse compressionen_US
dc.subjectSNRen_US
dc.titleMean square convergence of adaptive envelope-constrained filteringen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage1429-
dc.identifier.epage1437-
dc.identifier.volume50-
dc.identifier.issue6-
dc.identifier.doi10.1109/TSP.2002.1003066-
dcterms.abstractA new type of adaptive filtering scheme for solving an envelope constrained filter design problem in a stochastic environment has been presented. The steady-state stochastic analysis of the adaptive scheme is established in the sense of mean square. It is shown that if a given initial point is in a neighborhood of the origin, the adaptive scheme with a fixed step-size produces a filter that converges in the mean square sense to within an upper boundary of the noise-free optimum filter. Numerical examples involving pulse compression and channel equalization are presented to illustrate the convergence characteristics of the adaptive scheme operating in a stochastic environment.-
dcterms.bibliographicCitationIEEE transactions on signal processing, 2002, v. 50, no. 6, p. 1429-1437-
dcterms.isPartOfIEEE transactions on signal processing-
dcterms.issued2002-
dc.identifier.isiWOS:000175761800016-
dc.identifier.scopus2-s2.0-0036611752-
dc.identifier.eissn1941-0476-
dc.identifier.rosgroupidr09513-
dc.description.ros2001-2002 > Academic research: refereed > Publication in refereed journal-
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