A Novel Method To Detect Almost Cyclostationary Structure
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Date
2020
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Journal ISSN
Volume Title
Publisher
Elsevier
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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. (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/).
Description
Pho, Kim Hung/0000-0001-9743-1306
ORCID
Keywords
Spectral Analysis, Detection, Almost Periodically Correlated, Almost Cyclostationary, Discrete Fourier Transform, Multiple Testing
Turkish CoHE Thesis Center URL
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Citation
Mahmoudi, M.R...et al. (2020). "A Novel Method to Detect Almost Cyclostationary Structure", Alexandria Engineering Journal.
WoS Q
Q1
Scopus Q
Q1

OpenCitations Citation Count
12
Source
Volume
59
Issue
4
Start Page
2339
End Page
2346
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Citations
CrossRef : 12
Scopus : 15
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Mendeley Readers : 5
SCOPUS™ Citations
15
checked on Nov 29, 2025
Web of Science™ Citations
12
checked on Nov 29, 2025
Page Views
1
checked on Nov 29, 2025
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1.9031429
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