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A Novel Method to Detect Almost Cyclostationary Structure

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dc.contributor.author Mahmoudi, Mohammad Reza
dc.contributor.author Baleanu, Dumitru
dc.contributor.author Anh Tuan, B.
dc.contributor.author Pho, K. H.
dc.date.accessioned 2020-05-01T04:41:04Z
dc.date.available 2020-05-01T04:41:04Z
dc.date.issued 2020
dc.identifier.citation Mahmoudi, M.R...et al. (2020). "A Novel Method to Detect Almost Cyclostationary Structure", Alexandria Engineering Journal. tr_TR
dc.identifier.issn 11100168
dc.identifier.uri http://hdl.handle.net/20.500.12416/3579
dc.description.abstract This paper is devoted to establish a computational approach to investigate that a discrete-time almost cyclostationary model is a suitable choice to fit on an observed dataset. The main idea is estimating the support of spectra and applying multiple testing. The simulated and real datasets are applied to study the performance of the introduced approach. The results confirm that the presented method acts efficiently in view of power study. tr_TR
dc.language.iso eng tr_TR
dc.publisher Elsevier B.V. tr_TR
dc.relation.isversionof 10.1016/j.aej.2020.02.026 tr_TR
dc.rights info:eu-repo/semantics/openAccess tr_TR
dc.subject Almost Cyclostationary tr_TR
dc.subject Almost Periodically Correlated tr_TR
dc.subject Discrete Fourier Transform tr_TR
dc.subject Detection tr_TR
dc.subject Spectral Analysis tr_TR
dc.subject Multiple Testing tr_TR
dc.title A Novel Method to Detect Almost Cyclostationary Structure tr_TR
dc.type article tr_TR
dc.relation.journal Alexandria Engineering Journal tr_TR
dc.contributor.authorID 56389 tr_TR
dc.contributor.department Çankaya Üniversitesi, Fen Edebiyat Fakültesi, Matematik Bölümü tr_TR


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