A Novel Method to Detect Almost Cyclostationary Structure

Mahmoudi, Mohammad Reza; Baleanu, Dumitru; Anh Tuan, B.; Pho, K. H.

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