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On Comparing and Clustering the Spectral Densities of Several Almost Cyclostationary Processes

dc.contributor.author Maleki, Mohsen
dc.contributor.author Borodin, Kirill
dc.contributor.author Pho, Kim-Hung
dc.contributor.author Baleanu, Dumitru
dc.contributor.author Mahmoudi, Mohammad Reza
dc.contributor.authorID 56389 tr_TR
dc.date.accessioned 2020-12-25T11:13:53Z
dc.date.accessioned 2025-09-18T15:43:40Z
dc.date.available 2020-12-25T11:13:53Z
dc.date.available 2025-09-18T15:43:40Z
dc.date.issued 2020
dc.description Pho, Kim Hung/0000-0001-9743-1306; Borodin, Kirill/0000-0001-5536-4256 en_US
dc.description.abstract In time series analysis, comparing spectral densities of several processes with almost peri-odic spectra is an interested problem. The contribution of this work is to give a technique to com-pare 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. (C) 2020 The Authors. Published by Elsevier B.V. on behalf of Faculty of Engineering, Alexandria University. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/ 4.0/). en_US
dc.description.publishedMonth 8
dc.identifier.citation Mahmoudi, Mohammad Reza...et al. (2020). "On comparing and clustering the spectral densities of several almost cyclostationary processes", Alexandria Engineering Journal, Vol. 59, No. 4, pp. 2555-2565. en_US
dc.identifier.doi 10.1016/j.aej.2020.03.043
dc.identifier.issn 1110-0168
dc.identifier.issn 2090-2670
dc.identifier.scopus 2-s2.0-85084560576
dc.identifier.uri https://doi.org/10.1016/j.aej.2020.03.043
dc.identifier.uri https://hdl.handle.net/20.500.12416/14000
dc.language.iso en en_US
dc.publisher Elsevier en_US
dc.rights info:eu-repo/semantics/openAccess en_US
dc.subject Almost Periodically Corre-Lated Processes en_US
dc.subject Almost Cyclostationary Processes en_US
dc.subject Classification en_US
dc.subject Clustering en_US
dc.subject Spectral Density en_US
dc.title On Comparing and Clustering the Spectral Densities of Several Almost Cyclostationary Processes en_US
dc.title On comparing and clustering the spectral densities of several almost cyclostationary processes tr_TR
dc.type Article en_US
dspace.entity.type Publication
gdc.author.id Pho, Kim Hung/0000-0001-9743-1306
gdc.author.id Borodin, Kirill/0000-0001-5536-4256
gdc.author.institutional Baleanu, Dumitru
gdc.author.scopusid 56684432000
gdc.author.scopusid 57214767247
gdc.author.scopusid 57204037427
gdc.author.scopusid 57208444555
gdc.author.scopusid 7005872966
gdc.author.wosid Borodin, Kirill/Aag-9982-2019
gdc.author.wosid Mahmoudi, Mohammad Reza/Aax-4890-2020
gdc.author.wosid Pho, Kim-Hung/Abi-4974-2020
gdc.author.wosid Maleki, Mohsen/L-9476-2019
gdc.author.wosid Baleanu, Dumitru/B-9936-2012
gdc.description.department Çankaya University en_US
gdc.description.departmenttemp [Mahmoudi, Mohammad Reza] Duy Tan Univ, Inst Res & Dev, Da Nang 550000, Vietnam; [Mahmoudi, Mohammad Reza] Fasa Univ, Fac Sci, Dept Stat, Fasa, Fars, Iran; [Maleki, Mohsen] Univ Isfahan, Dept Stat, Esfahan, Iran; [Borodin, Kirill] Ural Fed Univ, Dept Theoret Phys & Appl Math, Ekaterinburg, Russia; [Borodin, Kirill] Russian Acad Sci, Ural Branch, MN Mikheev Inst Met Phys, Ekaterinburg, Russia; [Pho, Kim-Hung] Ton Duc Thang Univ, Fac Math & Stat, Fract Calculus Optimizat & Algebra Res Grp, Ho Chi Minh City, Vietnam; [Baleanu, Dumitru] Cankaya Univ, Fac Art & Sci, Dept Math, TR-06530 Ankara, Turkey; [Baleanu, Dumitru] Inst Space Sci, Magurele, Romania en_US
gdc.description.endpage 2565 en_US
gdc.description.issue 4 en_US
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality Q1
gdc.description.startpage 2555 en_US
gdc.description.volume 59 en_US
gdc.description.woscitationindex Science Citation Index Expanded
gdc.description.wosquality Q1
gdc.identifier.openalex W3025088523
gdc.identifier.wos WOS:000563770000001
gdc.openalex.fwci 2.06885949
gdc.openalex.normalizedpercentile 0.88
gdc.opencitations.count 14
gdc.plumx.crossrefcites 16
gdc.plumx.mendeley 4
gdc.plumx.scopuscites 18
gdc.scopus.citedcount 18
gdc.wos.citedcount 15
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