On Comparing and Clustering the Spectral Densities of Several Almost Cyclostationary Processes
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Date
2020
Journal Title
Journal ISSN
Volume Title
Publisher
Elsevier
Open Access Color
GOLD
Green Open Access
Yes
OpenAIRE Downloads
OpenAIRE Views
Publicly Funded
No
BIP! Indicators
Impulse
Top 10%
Influence
Top 10%
Popularity
Top 10%
Abstract
In time series analysis, comparing spectral densities of several processes with almost peri-odic spectra is an interested problem. The contribution of this work is to give a technique to com-pare and to cluster the spectral densities of some independent almost periodically correlated (cyclostationary) processes. This approach is based on the limiting distribution for the periodogram and the discrete Fourier transform. The real world examples and simulation results indicate that the approach well acts. (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 license (http://creativecommons.org/licenses/by/ 4.0/).
Description
Pho, Kim Hung/0000-0001-9743-1306; Borodin, Kirill/0000-0001-5536-4256
Keywords
Almost Periodically Corre-Lated Processes, Almost Cyclostationary Processes, Classification, Clustering, Spectral Density, Blind Source Separation and Independent Component Analysis, CYCLOSTATIONARY, Astronomy, Social Sciences, FOS: Mechanical engineering, CLUSTERING, Cluster (spacecraft), ALMOST PERIODICALLY CORRELATED PROCESSES, Clustering of Time Series Data and Algorithms, Engineering, Spectral clustering, Series (stratigraphy), Periodogram, Spectral density estimation, Physics, Statistics, ALMOST PERIODIC, Classification, Engineering (General). Civil engineering (General), Almost periodically correlated processes, Fourier analysis, Mechanical engineering, Programming language, Algorithm, Economics, Econometrics and Finance, Physical Sciences, Fourier transform, Telecommunications, TA1-2040, Convolutional Mixtures, Spectral line, Economics and Econometrics, LIMITING DISTRIBUTIONS, Limiting, Econophysics: Complexity in Financial Markets, CYCLOSTATIONARY PROCESS, Mathematical analysis, CLASSIFICATION, Clustering, TIME SERIES ANALYSIS, SPECTRAL DENSITY, Cluster analysis, Spectral density, FOS: Mathematics, Discrete Fourier transform (general), Biology, Dynamic Time Warping, Distribution (mathematics), Paleontology, Computer science, PERIODOGRAMS, Cyclostationary process, Almost cyclostationary processes, Channel (broadcasting), Signal Processing, Computer Science, Short-time Fourier transform, Similarity Measures, Statistical physics, ALMOST CYCLOSTATIONARY PROCESSES, DISCRETE FOURIER TRANSFORMS, Temporal Structure, REAL-WORLD, Mathematics
Fields of Science
02 engineering and technology, 01 natural sciences, 0202 electrical engineering, electronic engineering, information engineering, 0101 mathematics
Citation
Mahmoudi, Mohammad Reza...et al. (2020). "On comparing and clustering the spectral densities of several almost cyclostationary processes", Alexandria Engineering Journal, Vol. 59, No. 4, pp. 2555-2565.
WoS Q
Q1
Scopus Q
Q1
OpenCitations Citation Count
16
Source
Alexandria Engineering Journal
Volume
59
Issue
4
Start Page
2555
End Page
2565
PlumX Metrics
Citations
CrossRef : 16
Scopus : 19
Captures
Mendeley Readers : 4
SCOPUS™ Citations
19
checked on Feb 24, 2026
Web of Science™ Citations
16
checked on Feb 24, 2026
Page Views
5
checked on Feb 24, 2026
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