Anomalous diffusion in the dynamics of complex processes
Tóm tắt
It is shown that complex signals represented in the form of time series of measured dynamic variables can contain chaotic components whose time changes can be described as anomalous diffusion processes. To determine the parameters of such processes, procedures for the extraction of low-frequency and highest-frequency flicker-noise components, which are flicker-noise spectroscopy characteristics, should be developed. The methodology of the corresponding analysis is demonstrated for the example of magnetoencephalogram signals recorded as responses to the external action of a flickering color stimulus.
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Tài liệu tham khảo
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