Adaptive filtering approaches for non-Gaussian stable processes

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buir.contributor.authorÇetin, A. Enis
buir.contributor.authorArıkan, Orhan
buir.contributor.orcidArıkan, Orhan|0000-0002-3698-8888
buir.contributor.orcidÇetin, A. Enis|0000-0002-3449-1958
dc.citation.epage1403en_US
dc.citation.spage1400en_US
dc.contributor.authorArıkan, Orhanen_US
dc.contributor.authorBelge, Muraten_US
dc.contributor.authorÇetin, A. Enisen_US
dc.contributor.authorErzin, Enginen_US
dc.coverage.spatialDetroit, MI, USA
dc.date.accessioned2016-02-08T12:01:09Z
dc.date.available2016-02-08T12:01:09Z
dc.date.issued1995-05en_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.descriptionDate of Conference: 9-12 May 1995
dc.descriptionConference name: 1995 International Conference on Acoustics, Speech, and Signal Processing
dc.description.abstractA large class of physical phenomenon observed in practice exhibit non-Gaussian behavior. In this paper, α-stable distributions, which have heavier tails than Gaussian distribution, are considered to model non-Gaussian signals. Adaptive signal processing in the presence of such kind of noise is a requirement of many practical problems. Since, direct application of commonly used adaptation techniques fail in these applications, new approaches for adaptive filtering for α-stable random processes are introduced.en_US
dc.description.provenanceMade available in DSpace on 2016-02-08T12:01:09Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 70227 bytes, checksum: 26e812c6f5156f83f0e77b261a471b5a (MD5) Previous issue date: 1995en
dc.identifier.doi10.1109/ICASSP.1995.480503en_US
dc.identifier.issn0736-7791
dc.identifier.urihttp://hdl.handle.net/11693/27762
dc.language.isoEnglishen_US
dc.publisherIEEEen_US
dc.relation.isversionofhttps://doi.org/10.1109/ICASSP.1995.480503en_US
dc.source.title1995 IEEE International Conference on Acoustics, Speech and Signal Processing. Proceedingsen_US
dc.subjectHilbert space frameworken_US
dc.subjectNon Gaussian signalsen_US
dc.subjectRecursive least squaresen_US
dc.subjectAlgorithmsen_US
dc.subjectComputer simulationen_US
dc.subjectDigital filtersen_US
dc.subjectDigital signal processingen_US
dc.subjectLeast squares approximationsen_US
dc.subjectOptimizationen_US
dc.subjectRandom processesen_US
dc.subjectRecursive functionsen_US
dc.subjectErrorsen_US
dc.subjectMathematical modelsen_US
dc.subjectSignal processingen_US
dc.subjectSignal theoryen_US
dc.subjectSpurious signal noiseen_US
dc.subjectAdaptive filteringen_US
dc.subjectAdditive noiseen_US
dc.subjectAlpha-stable processen_US
dc.subjectGaussian processen_US
dc.titleAdaptive filtering approaches for non-Gaussian stable processesen_US
dc.typeConference Paperen_US

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