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Order parameter for the transition from strong to weak generalized synchrony from empirical mode decomposition

Kaustubh Manchanda1, Ramakrishna Ramaswamy

  • 1School of Physical Sciences, Jawaharlal Nehru University, New Delhi 110067, India.

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|July 30, 2011
PubMed
Summary

We introduce a new method using empirical mode decomposition to analyze chaotic time series in driven nonlinear systems. This technique identifies order parameters to distinguish between strong and weak generalized synchronization regimes.

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