Complex-Valued Least Mean Kurtosis Adaptive Filter Algorithm

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dc.authorid0000-0002-0619-549X
dc.contributor.authorMenguc, Engin Cemal
dc.contributor.authorAcir, Nurettin
dc.date.accessioned2019-08-01T13:38:39Z
dc.date.available2019-08-01T13:38:39Z
dc.date.issued2016
dc.departmentNiğde ÖHÜ
dc.description24th Signal Processing and Communication Application Conference (SIU) -- MAY 16-19, 2016 -- Zonguldak, TURKEY
dc.description.abstractIn this study, a complex-valued least mean Kurtosis (CLMK) adaptive filter algorithm is designed for processing complex-valued signals. The performance of the designed algorithm is tested on a complex-valued system identification and compared the complex-valued least mean square (CLMS) and complex-valued normalized least mean square (CNLMS) algorithms. As a result, the CLMK algorithm shows a higher performance than the other algorithms in terms of the convergence rate, mean square error (MSE) and mean square deviation (MSD).
dc.description.sponsorshipIEEE, Bulent Ecevit Univ, Dept Elect & Elect Engn, Bulent Ecevit Univ, Dept Biomed Engn, Bulent Ecevit Univ, Dept Comp Engn
dc.identifier.endpage328
dc.identifier.isbn978-1-5090-1679-2
dc.identifier.scopus2-s2.0-84982813855
dc.identifier.scopusqualityN/A
dc.identifier.startpage325
dc.identifier.urihttps://hdl.handle.net/11480/3749
dc.identifier.wosWOS:000391250900059
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthor[0-Belirlenecek]
dc.language.isotr
dc.publisherIEEE
dc.relation.ispartof2016 24TH SIGNAL PROCESSING AND COMMUNICATION APPLICATION CONFERENCE (SIU)
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectcomplex-valued adaptive filter
dc.subjectcomplex-valued system identification
dc.subjectcomplex-valued least mean Kurtosis algorithm
dc.titleComplex-Valued Least Mean Kurtosis Adaptive Filter Algorithm
dc.typeConference Object

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