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Multiscale analysis of rhythmic processes with time-varying characteristics
N. M. Kupriyashkina, O. N. Pavlova, A. N. Pavlov Saratov State University
Abstract:
The problem of diagnostics of structural variations in nonstationary processes is considered in the case of a degree of nonstationarity that is dependent on the frequency range. Multiscale analysis of experimental data on rhythmic processes with time-varying characteristics is carried out by the example of sleep slow wave dynamics. Possibility of improving the quality of diagnostics by selecting proper wavelet basis set functions is discussed.
Keywords:
non-stationary process, wavelet analysis, rhythmic dynamics.
Received: 23.01.2020 Revised: 07.06.2020 Accepted: 07.06.2020
Citation:
N. M. Kupriyashkina, O. N. Pavlova, A. N. Pavlov, “Multiscale analysis of rhythmic processes with time-varying characteristics”, Pisma v Zhurnal Tekhnicheskoi Fiziki, 46:18 (2020), 7–9; Tech. Phys. Lett., 46:9 (2020), 893–895
Linking options:
https://www.mathnet.ru/eng/pjtf4985 https://www.mathnet.ru/eng/pjtf/v46/i18/p7
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Abstract page: | 60 | Full-text PDF : | 24 |
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