Analysis of the Recurrence of Noisy Time Series


Cite item

Full Text

Open Access Open Access
Restricted Access Access granted
Restricted Access Subscription Access

Abstract

Abstract—A method based on the use of recurrence plots was proposed for numerical evaluation of the character of the dynamics of noisy time series under conditions where external noise transforms recurrence plots that correspond to qualitatively different dynamic modes such that they become virtually indistinguishable. As demonstrated using the difference logistic map as an example, the method makes it possible to distinguish random fluctuations from deterministic oscillations, including both regular and chaotic oscillations, even when the signal-to-noise ratio is relatively high. An increase in noise level was additionally shown to lead to a convergence of the recurrent properties of regular and chaotic oscillations.

About the authors

A. V. Rusakov

Institute of Theoretical and Experimental Biophysics, Russian Academy of Sciences

Author for correspondence.
Email: rusakov_a@rambler.ru
Russian Federation, Pushchino, Moscow oblast, 142290

A. V. Medvinsky

Institute of Theoretical and Experimental Biophysics, Russian Academy of Sciences

Email: rusakov_a@rambler.ru
Russian Federation, Pushchino, Moscow oblast, 142290

N. I. Nurieva

Institute of Theoretical and Experimental Biophysics, Russian Academy of Sciences

Email: rusakov_a@rambler.ru
Russian Federation, Pushchino, Moscow oblast, 142290

Supplementary files

Supplementary Files
Action
1. JATS XML

Copyright (c) 2018 Pleiades Publishing, Inc.