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Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/4798

Title: Detecting phase synchronization in noisy data from coupled chaotic oscillators
Authors: Sun, Junfeng
Zhang, Jie
Zhou, Jin
Xu, Xiaoke
Small, Michael
Subjects: Acoustic noise
Chaotic systems
Oscillators (electronic)
Phase measurement
Synchronisation
Time delay
Issue Date: 17-Apr-2008
Publisher: American Physical Society
Citation: Physical review E, statistical, nonlinear, and soft matter physics, 17 Apr. 2008, v. 77, no. 4, 046213, p. 1-7.
Abstract: Two schemes are proposed to detect phase synchronization from chaotic data contaminated by noise. The first is a neighborhood-based method which links time delay embedding with instantaneous phase estimation. The second adopts the local projection method as a preprocessing filter to noisy data. Both schemes utilize the state recurrence, an important feature of chaotic data. The proposed schemes are applied to data measured from two typical chaotic systems, i.e., the coupled Rössler systems and the coupled Lorenz systems, respectively. The results show that phase synchronization, which may be buried by noise, is detected even when the noise level is high. Moreover, the overestimation of the degree of phase synchronization, which may be introduced by the Hilbert transform combined with a traditional linear bandpass filter, can be avoided when the data are contaminated by only measurement noise.
Description: DOI: 10.1103/PhysRevE.77.046213
Rights: Physical Review E © 2008 The American Physical Society. The Journal's web site is located at http://pre.aps.org/
Type: Journal/Magazine Article
URI: http://hdl.handle.net/10397/4798
ISSN: 1539-3755 (print)
1550-2376 (online)
Appears in Collections:EIE Journal/Magazine Articles

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