Robust least mean mixed norm adaptive filtering for α-stable random processes

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buir.contributor.authorÇetin, A. Enis
buir.contributor.orcidÇetin, A. Enis|0000-0002-3449-1958
dc.citation.epage2299en_US
dc.citation.spage2296en_US
dc.contributor.authorAydın, Gülen_US
dc.contributor.authorTanrıkulu, O.en_US
dc.contributor.authorÇetin, A. Enisen_US
dc.coverage.spatialHong Kongen_US
dc.date.accessioned2016-02-08T12:00:03Z
dc.date.available2016-02-08T12:00:03Z
dc.date.issued1997en_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.descriptionDate of Conference: 9-12 June 1997en_US
dc.descriptionConference Name: 1997 IEEE International Symposium on Circuits and Systemsen_US
dc.description.abstractBased on the concept of Fractional Lower Order Statistics (FLOS), we present the Robust Least Mean Mixed Norm (RLMMN) adaptive algorithm for applications in impulsive environments modeled by α-stable distributions. A sufficient condition for finite variance of the update term is obtained for the underlying α-stable process. Simulation results are provided regarding the identification of the parameters of an AR system.en_US
dc.description.provenanceMade available in DSpace on 2016-02-08T12:00:03Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 70227 bytes, checksum: 26e812c6f5156f83f0e77b261a471b5a (MD5) Previous issue date: 1997en
dc.identifier.doi10.1109/ISCAS.1997.612781en_US
dc.identifier.issn0271-4310en_US
dc.identifier.urihttp://hdl.handle.net/11693/27713
dc.language.isoEnglishen_US
dc.publisherIEEEen_US
dc.relation.isversionofhttps://www.doi.org/10.1109/ISCAS.1997.612781en_US
dc.source.titleProceedings of the 1997 IEEE International Symposium on Circuits and Systemsen_US
dc.subjectAdaptive algorithmsen_US
dc.subjectMathematical modelsen_US
dc.subjectProbabilityen_US
dc.subjectRandom processesen_US
dc.subjectSpurious signal noiseen_US
dc.subjectRobust least mean mixed norm adaptive algorithmen_US
dc.subjectRobust least mean mixed norm adaptive filteringen_US
dc.subjectAdaptive filteringen_US
dc.titleRobust least mean mixed norm adaptive filtering for α-stable random processesen_US
dc.typeConference Paperen_US

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