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A Novel Method To Detect Almost Cyclostationary Structure

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Date

2020

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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

Keywords

Spectral Analysis, Detection, Almost Periodically Correlated, Almost Cyclostationary, Discrete Fourier Transform, Multiple Testing

Turkish CoHE Thesis Center URL

Fields of Science

Citation

Mahmoudi, M.R...et al. (2020). "A Novel Method to Detect Almost Cyclostationary Structure", Alexandria Engineering Journal.

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Q1

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Q1
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OpenCitations Citation Count
12

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Volume

59

Issue

4

Start Page

2339

End Page

2346
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CrossRef : 12

Scopus : 15

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Mendeley Readers : 5

SCOPUS™ Citations

15

checked on Nov 29, 2025

Web of Science™ Citations

12

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1

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1.9031429

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