DocumentCode
169996
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
fYear
2014
fDate
25-28 May 2014
Firstpage
169
Lastpage
170
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Cardiovascular Oscillations (ESGCO), 2014 8th Conference of the European Study Group on
Conference_Location
Trento
Type
conf
DOI
10.1109/ESGCO.2014.6847573
Filename
6847573
Link To Document