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dc.contributor.authorMahmoudi, M. R.en
dc.contributor.authorMaleki, M.en
dc.contributor.authorBorodin, K.en
dc.contributor.authorPho, K. -H.en
dc.contributor.authorBaleanu, D.en
dc.date.accessioned2020-10-20T16:36:53Z-
dc.date.available2020-10-20T16:36:53Z-
dc.date.issued2020-
dc.identifier.citationOn comparing and clustering the spectral densities of several almost cyclostationary processes / M. R. Mahmoudi, M. Maleki, K. Borodin, K. -H. Pho, et al.. — DOI 10.1016/j.aej.2020.03.043 // Alexandria Engineering Journal. — 2020. — Vol. 4. — Iss. 59. — P. 2555-2565.en
dc.identifier.issn11100168-
dc.identifier.otherhttps://doi.org/10.1016/j.aej.2020.03.043pdf
dc.identifier.other1good_DOI
dc.identifier.other486ada2c-bbd6-432c-b234-a1f0cedfef7apure_uuid
dc.identifier.otherhttp://www.scopus.com/inward/record.url?partnerID=8YFLogxK&scp=85084560576m
dc.identifier.urihttp://elar.urfu.ru/handle/10995/92709-
dc.description.abstractIn time series analysis, comparing spectral densities of several processes with almost periodic spectra is an interested problem. The contribution of this work is to give a technique to compare and to cluster the spectral densities of some independent almost periodically correlated (cyclostationary) processes. This approach is based on the limiting distribution for the periodogram and the discrete Fourier transform. The real world examples and simulation results indicate that the approach well acts. © 2020 Faculty of Engineering, Alexandria Universityen
dc.format.mimetypeapplication/pdfen
dc.language.isoenen
dc.publisherElsevier B.V.en
dc.rightsinfo:eu-repo/semantics/openAccessen
dc.sourceAlexandria Engineering Journalen
dc.subjectALMOST CYCLOSTATIONARY PROCESSESen
dc.subjectALMOST PERIODICALLY CORRELATED PROCESSESen
dc.subjectCLASSIFICATIONen
dc.subjectCLUSTERINGen
dc.subjectSPECTRAL DENSITYen
dc.subjectDISCRETE FOURIER TRANSFORMSen
dc.subjectTIME SERIES ANALYSISen
dc.subjectALMOST PERIODICen
dc.subjectCYCLOSTATIONARYen
dc.subjectCYCLOSTATIONARY PROCESSen
dc.subjectLIMITING DISTRIBUTIONSen
dc.subjectPERIODOGRAMSen
dc.subjectREAL-WORLDen
dc.subjectSPECTRAL DENSITYen
dc.titleOn comparing and clustering the spectral densities of several almost cyclostationary processesen
dc.typeArticleen
dc.typeinfo:eu-repo/semantics/articleen
dc.typeinfo:eu-repo/semantics/publishedVersionen
dc.identifier.doi10.1016/j.aej.2020.03.043-
dc.identifier.scopus85084560576-
local.affiliationInstitute of Research and Development, Duy Tan University, Da Nang 550000, Viet Nam
local.affiliationDepartment of Statistics, Faculty of Science, Fasa University, Fasa, Fars, Iran
local.affiliationDepartment of Statistics, University of Isfahan, Isfahan, Iran
local.affiliationDepartment of Theoretical Physics and Applied Mathematics, Ural Federal University named after the first President of Russia B. N. Yeltsin, Yekaterinburg, Russian Federation
local.affiliationM. N. Mikheev Institute of Metal Physics, Ural Branch, Russian Academy of Sciences, Yekaterinburg, Russian Federation
local.affiliationFractional Calculus, Optimization and Algebra Research Group, Faculty of Mathematics and Statistics, Ton Duc Thang University, Ho Chi Minh City, Viet Nam
local.affiliationDepartment of Mathematics, Faculty of Art and Sciences, Cankaya University Balgat 06530, Ankara, Turkey
local.affiliationInstitute of Space Sciences, Magurele-Bucharest, Romania
local.contributor.employeeMahmoudi, M.R., Institute of Research and Development, Duy Tan University, Da Nang 550000, Viet Nam, Department of Statistics, Faculty of Science, Fasa University, Fasa, Fars, Iran
local.contributor.employeeMaleki, M., Department of Statistics, University of Isfahan, Isfahan, Iran
local.contributor.employeeBorodin, K., Department of Theoretical Physics and Applied Mathematics, Ural Federal University named after the first President of Russia B. N. Yeltsin, Yekaterinburg, Russian Federation, M. N. Mikheev Institute of Metal Physics, Ural Branch, Russian Academy of Sciences, Yekaterinburg, Russian Federation
local.contributor.employeePho, K.-H., Fractional Calculus, Optimization and Algebra Research Group, Faculty of Mathematics and Statistics, Ton Duc Thang University, Ho Chi Minh City, Viet Nam
local.contributor.employeeBaleanu, D., Department of Mathematics, Faculty of Art and Sciences, Cankaya University Balgat 06530, Ankara, Turkey, Institute of Space Sciences, Magurele-Bucharest, Romania
local.description.firstpage2555-
local.description.lastpage2565-
local.issue59-
local.volume4-
dc.identifier.wos000563770000001-
local.identifier.pure13656025-
local.identifier.eid2-s2.0-85084560576-
local.identifier.wosWOS:000563770000001-
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