Title :
Detecting synchronization and interrelations in multivariate time series
Author :
Parlitz, Ulrich ; Luther, Samuel
Author_Institution :
Max Planck Inst. for Dynamics & Self-Organ., Gottingen, Germany
Abstract :
Different cases of generalized synchronization are discussed with emphasis on methods for detecting them from time series. In particular, we shall focus on synchronization resulting in complex (non-smooth and/or non-invertible) functions or relations between drive and response that can be detected by means of a data driven extension of the auxiliary systems test.
Keywords :
chaos; synchronisation; time series; auxiliary system testing; complex functions; data driven extension; detecting synchronization; generalized synchronization; multivariate time series; time series; Asymptotic stability; Chaotic communication; Image color analysis; Oscillators; Synchronization; Time series analysis;
Conference_Titel :
Cardiovascular Oscillations (ESGCO), 2014 8th Conference of the European Study Group on
Conference_Location :
Trento
DOI :
10.1109/ESGCO.2014.6847573
