Robust adaptive filtering algorithms for impulsive noise environments

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buir.advisorÇetin, A. Enis
dc.contributor.authorAydin, Gül
dc.date.accessioned2016-01-08T20:13:04Z
dc.date.available2016-01-08T20:13:04Z
dc.date.issued1996
dc.descriptionAnkara : Department of Electrical and Electronics Engineering and Institute of Engineering and Sciences, Bilkent University, 1996.en_US
dc.descriptionThesis (Master's) -- Bilkent University, 1996.en_US
dc.descriptionIncludes bibliographical references leaves 61-66.en_US
dc.description.abstractIn this thesis, robust adaptive filtering algorithms are introduced for impulsive noise environments which can be modeled as o;-stable distributions and/or c-contarninated Gaussian distributions. The algorithms are devcrloped using the Fractional Lower Order Statistics concept. Robust perf()rrnance is obtained.en_US
dc.description.provenanceMade available in DSpace on 2016-01-08T20:13:04Z (GMT). No. of bitstreams: 1 1.pdf: 78510 bytes, checksum: d85492f20c2362aa2bcf4aad49380397 (MD5)en
dc.description.statementofresponsibilityAydin, Gülen_US
dc.format.extentxiv, 66 leavesen_US
dc.identifier.urihttp://hdl.handle.net/11693/17750
dc.language.isoEnglishen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectAdaptive F'ilteringen_US
dc.subjecta-stable distributionsen_US
dc.subjectFractional Lower Order Momentsen_US
dc.subjecte-contaminated Gaussian distributionsen_US
dc.subject.lccTK5102.9 .A93 1996en_US
dc.subject.lcshAdaptive signal processing.en_US
dc.subject.lcshAdaptive filters.en_US
dc.subject.lcshAlgorithms.en_US
dc.subject.lcshSignal processing--Statistical methods.en_US
dc.titleRobust adaptive filtering algorithms for impulsive noise environmentsen_US
dc.typeThesisen_US
thesis.degree.disciplineElectrical and Electronic Engineering
thesis.degree.grantorBilkent University
thesis.degree.levelMaster's
thesis.degree.nameMS (Master of Science)

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