A Novel Method To Detect Almost Cyclostationary Structure

Baleanu, DumitruBui Anh TuanKim-Hung PhoMahmoudi, Mohammad Reza2020-05-012025-09-182020-05-012025-09-182020Mahmoudi, M.R...et al. (2020). "A Novel Method to Detect Almost Cyclostationary Structure", Alexandria Engineering Journal.1110-01682090-2670https://doi.org/10.1016/j.aej.2020.02.026https://hdl.handle.net/123456789/10616Pho, Kim Hung/0000-0001-9743-1306This 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. (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-NC-ND license (http://creativecommons.org/ licenses/by-nc-nd/4.0/).eninfo:eu-repo/semantics/openAccessSpectral AnalysisDetectionAlmost Periodically CorrelatedAlmost CyclostationaryDiscrete Fourier TransformMultiple TestingA Novel Method To Detect Almost Cyclostationary StructureA Novel Method to Detect Almost Cyclostationary StructureArticle10.1016/j.aej.2020.02.0262-s2.0-85081249612