Prediction of Complex-Valued Signals by Using Complex-Valued LMK Algorithm

dc.contributor.authorMenguc, Engin Cemal
dc.contributor.authorAcir, Nurettin
dc.date.accessioned2024-11-07T13:23:54Z
dc.date.available2024-11-07T13:23:54Z
dc.date.issued2017
dc.departmentNiğde Ömer Halisdemir Üniversitesi
dc.description25th Signal Processing and Communications Applications Conference (SIU) -- MAY 15-18, 2017 -- Antalya, TURKEY
dc.description.abstractIn this study, the adaptive prediction of complex valued signals has been realized by using the complex-valued least mean Kurtosis (CLMK) algorithm. The prediction performance of the CLMK algorithm has been evaluated on three benchmark complex-valued signals and a complex-valued real-world radar data by comparing with the traditional least mean square (CLMS) algorithm. Simulation results have verified that the CLMK algorithm outperforms the CLMS algorithm.
dc.description.sponsorshipTurk Telekom,Arcelik A S,Aselsan,ARGENIT,HAVELSAN,NETAS,Adresgezgini,IEEE Turkey Sect,AVCR Informat Technologies,Cisco,i2i Syst,Integrated Syst & Syst Design,ENOVAS,FiGES Engn,MS Spektral,Istanbul Teknik Univ
dc.identifier.isbn978-1-5090-6494-6
dc.identifier.issn2165-0608
dc.identifier.scopus2-s2.0-85026313559
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://hdl.handle.net/11480/13793
dc.identifier.wosWOS:000413813100112
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isotr
dc.publisherIEEE
dc.relation.ispartof2017 25th Signal Processing and Communications Applications Conference (Siu)
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_20241106
dc.subjectcomplex-valued adaptive filter
dc.subjectleast mean Kurtosis
dc.subjectprediction problem
dc.titlePrediction of Complex-Valued Signals by Using Complex-Valued LMK Algorithm
dc.title.alternativeKomplex-De?erli LMK Algoritmasi Kullanilarak Kompleks-De?erli sinyallerin Tahmini
dc.typeConference Object

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