Comparison of split complex-valued metaheuristic optimization algorithms for system identification problem [Sistem tanimlama problemi için bölünmüş kompleks-degerli sezgisel eniyileme algoritmalarinin karşilaştirilmasi]

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dc.contributor.authorMenguc E.C.
dc.contributor.authorPeker M.
dc.contributor.authorCinar S.
dc.date.accessioned2019-08-01T13:38:39Z
dc.date.available2019-08-01T13:38:39Z
dc.date.issued2018
dc.departmentNiğde ÖHÜ
dc.descriptionAselsan;et al.;Huawei;IEEE Signal Processing Society;IEEE Turkey Section;Netas
dc.description26th IEEE Signal Processing and Communications Applications Conference, SIU 2018 -- 2 May 2018 through 5 May 2018 -- -- 137780
dc.description.abstractSince some of the real world problems include phase and amplitude information, complex modeling is more suitable. In this study, the well-used particle swarm optimization, simulated annealing and genetic algorithm are designed in a split form in order to process complex-valued signals. The performances of the algorithms are comparatively tested on two different system identification problems for different noise levels. Simulation results show that the split complex-valued metaheuristic algorithms produce results which are almost close to the weights of both unknown systems. © 2018 IEEE.
dc.identifier.doi10.1109/SIU.2018.8404771
dc.identifier.endpage4
dc.identifier.isbn9.78154E+12
dc.identifier.scopus2-s2.0-85050820312
dc.identifier.scopusqualityN/A
dc.identifier.startpage1
dc.identifier.urihttps://dx.doi.org/10.1109/SIU.2018.8404771
dc.identifier.urihttps://hdl.handle.net/11480/1632
dc.indekslendigikaynakScopus
dc.institutionauthor[0-Belirlenecek]
dc.language.isotr
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation.ispartof26th IEEE Signal Processing and Communications Applications Conference, SIU 2018
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectComplex-valued Signals
dc.subjectSplit Complex-valued Metaheuristic Algorithms
dc.subjectSystem Identification
dc.titleComparison of split complex-valued metaheuristic optimization algorithms for system identification problem [Sistem tanimlama problemi için bölünmüş kompleks-degerli sezgisel eniyileme algoritmalarinin karşilaştirilmasi]
dc.typeConference Object

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