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Analysis of rhythms in experimental signals
Schmidt Institute of Physics of the Earth, Russian Academy of Sciences, Moscow, Russia
Journal: Geophysical processes and biosphere
Tome: 16
Number: 2
Year: 2017
Pages: 55-74
UDK: 004.67+004.9]:[550.3+57.045]
DOI: 10.21455/GPB2017.2-2
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Desherevskii A., Zhuravlev V., Nikolsky A., Sidorin A. Analysis of rhythms in experimental signals // . 2017. Т. 16. № 2. С. 55-74. DOI: 10.21455/GPB2017.2-2
@article{DesherevskiiAnalysis2017,
author = "Desherevskii, A. and Zhuravlev, V. and Nikolsky, A. and Sidorin, A.",
title = "Analysis of rhythms in experimental signals",
journal = "Geophysical processes and biosphere",
year = 2017,
volume = "16",
number = "2",
pages = "55-74",
doi = "10.21455/GPB2017.2-2",
language = "English"
}
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Keywords: WinABD, rhythm, hidden periodicity, parameter estimation, algorithm, WinABD
Аnnotation: We compare algorithms designed to extract quasi-periodic signal components and estimate the amplitude, phase, stability, and other characteristics of the rhythm in a sliding window in the presence of data gaps. Each algorithm relies on its own rhythm model, therefore, depending on the research objectives, it is necessary to use different algorithms. The described set of algorithms is implemented in a software package WinABD, which includes a time series database management system, a powerful research complex and an interactive data visualization environment.
