A Novel Method To Detect Almost Cyclostationary Structure
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Date
2020
Journal Title
Journal ISSN
Volume Title
Publisher
Elsevier
Open Access Color
GOLD
Green Open Access
No
OpenAIRE Downloads
OpenAIRE Views
Publicly Funded
No
BIP! Indicators
Impulse
Top 10%
Influence
Average
Popularity
Top 10%
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, Blind Source Separation and Independent Component Analysis, Parameter Estimation, Spectral analysis, Analytical Chemistry, Engineering, FOS: Chemical sciences, Almost periodically correlated, Multiple testing, Data mining, Chemometrics in Analytical Chemistry and Food Technology, Engineering (General). Civil engineering (General), Discrete Fourier transform, System Identification Techniques, Computer science, Algorithm, Detection, Chemistry, Cyclostationary process, Control and Systems Engineering, Channel (broadcasting), Almost cyclostationary, Physical Sciences, Signal Processing, Computer Science, Telecommunications, TA1-2040
Fields of Science
02 engineering and technology, 01 natural sciences, 0202 electrical engineering, electronic engineering, information engineering, 0101 mathematics
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
Alexandria Engineering Journal
Volume
59
Issue
4
Start Page
2339
End Page
2346
PlumX Metrics
Citations
CrossRef : 12
Scopus : 15
Captures
Mendeley Readers : 5
SCOPUS™ Citations
15
checked on Feb 23, 2026
Web of Science™ Citations
12
checked on Feb 23, 2026
Page Views
2
checked on Feb 23, 2026
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