An augmented complex-valued least-mean kurtosis algorithm for the filtering of noncircular signals

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dc.contributor.authorMengüç E.C.
dc.contributor.authorAcır N.
dc.date.accessioned2019-08-01T13:38:39Z
dc.date.available2019-08-01T13:38:39Z
dc.date.issued2018
dc.departmentNiğde ÖHÜ
dc.description.abstractIn this paper, a novel augmented complex-valued least-mean kurtosis (ACLMK) algorithm is proposed for processing complex-valued signals. The negated kurtosis of the complex-valued error signal is defined as a cost function by using augmented statistics. As a result of the minimization of this cost function, the ACLMK algorithm containing all second-order statistical properties is obtained for processing noncircular complex-valued signals. Moreover, in this paper, convergence and misadjustment conditions of the proposed ACLMK algorithm are derived from the steady-state analysis. The simulation results on complex-valued system identification, prediction, and adaptive noise cancelling problems show that the use of the cost function defined by the negated kurtosis of the complex-valued error signal based on augmented statistics enables the processing of the noncircular complex-valued signals, and significantly improves the performance of the proposed ACLMK algorithm in terms of the mean square deviation, the mean square error, the prediction gain and the convergence rate when compared to other algorithms. © 2017 IEEE.
dc.identifier.doi10.1109/TSP.2017.2768024
dc.identifier.endpage448
dc.identifier.issn1053587X
dc.identifier.issue2
dc.identifier.scopus2-s2.0-85032746053
dc.identifier.scopusqualityN/A
dc.identifier.startpage438
dc.identifier.urihttps://dx.doi.org/10.1109/TSP.2017.2768024
dc.identifier.urihttps://hdl.handle.net/11480/1698
dc.identifier.volume66
dc.identifier.wosWOS:000418854700012
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthor[0-Belirlenecek]
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation.ispartofIEEE Transactions on Signal Processing
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectAugmented statistics
dc.subjectComplex-valued adaptive filter
dc.subjectLeast-mean kurtosis
dc.subjectNoncircular complex-valued signals
dc.titleAn augmented complex-valued least-mean kurtosis algorithm for the filtering of noncircular signals
dc.typeArticle

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