Abstract
We compare algorithms designed to extract quasiperiodic components of a signal and estimate the amplitude, phase, stability, and other characteristics of a rhythm in a sliding window in the presence of data gaps. Each algorithm relies on its own rhythm model; therefore, it is necessary to use different algorithms depending on the research objectives. The described set of algorithms and methods is implemented in the WinABD software package, which includes a time-series database management system, a powerful research complex, and an interactive data-visualization environment.
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Original Russian Text © A.V. Desherevskii, V.I. Zhuravlev, A.N. Nikolsky, A.Ya. Sidorin, 2017, published in Geofizicheskie Protsessy i Biosfera, 2017, Vol. 16, No. 2, pp. 55–73.
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Desherevskii, A.V., Zhuravlev, V.I., Nikolsky, A.N. et al. Analysis of Rhythms in Experimental Signals. Izv. Atmos. Ocean. Phys. 53, 847–858 (2017). https://doi.org/10.1134/S0001433817080035
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DOI: https://doi.org/10.1134/S0001433817080035