Literature DB >> 14995547

Robust measure for characterizing generalized synchronization.

Xiao Hu1, Valeriy Nenov.   

Abstract

Generalized synchronization between two coupled systems can be characterized by recently proposed interdependency measures calculated from two simultaneously observed time series from them. However, numerical tests have shown that these measures cannot consistently indicate the direction of the coupling for strongly coupled systems or in situations with a large phase space neighbor size. An interdependency measure is proposed here quantifying how close a conditional neighbor is to a true neighbor in terms of the degree of alignment of their principal axes. Numerical tests are carried out on time series generated from a coupled Hénon map and a Lorenz model driven by a Rossler model. Given that a driving system is more dependent on a response system, the results show that the direction of the coupling is consistently detected by using the proposed measure even in those unfavorable cases for the measures mentioned above.

Year:  2004        PMID: 14995547     DOI: 10.1103/PhysRevE.69.026206

Source DB:  PubMed          Journal:  Phys Rev E Stat Nonlin Soft Matter Phys        ISSN: 1539-3755


  2 in total

1.  Characterization of interdependency between intracranial pressure and heart variability signals: a causal spectral measure and a generalized synchronization measure.

Authors:  Xiao Hu; Valeriy Nenov; Paul Vespa; Marvin Bergsneider
Journal:  IEEE Trans Biomed Eng       Date:  2007-08       Impact factor: 4.538

2.  An index of signal mode complexity based on orthogonal transformation.

Authors:  Joydeep Bhattacharya; Ernesto Pereda
Journal:  J Comput Neurosci       Date:  2009-05-06       Impact factor: 1.621

  2 in total

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