Morphological and Other Research Techniques for Almost Cyclic Time Series as Applied to СО2 Concentration Series

Based on the morphological analysis techniques developed under the guidance of Yu.P. Pyt’ev, a method for filtering time series is proposed that is capable of detecting an almost cyclic component with a varying cycle length and varying series members within cycles. The effectiveness of the approach...

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Veröffentlicht in:	Computational mathematics and mathematical physics 2021-07, Vol.61 (7), p.1106-1117
Hauptverfasser:	Avilov, V. K., Aleshnovskii, V. S., Bezrukova, A. V., Gazaryan, V. A., Zyuzina, N. A., Kurbatova, Yu. A., Tarbaev, D. A., Chulichkov, A. I., Shapkina, N. E.
Format:	Artikel
Sprache:	eng
Schlagworte:	Computational Mathematics and Numerical Analysis Filtration Fourier analysis Information Science Mathematics Mathematics and Statistics Morphology Statistical methods Time series Wavelet analysis
Online-Zugang:	Volltext
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