Time-phase bispectral analysis

Janez Jamšek, Aneta Stefanovska, Peter V. E. McClintock, and Igor A. Khovanov
Phys. Rev. E 68, 016201 – Published 3 July 2003
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Abstract

Bispectral analysis, a technique based on high-order statistics, is extended to encompass time dependence for the case of coupled nonlinear oscillators. It is applicable to univariate as well as to multivariate data obtained, respectively, from one or more of the oscillators. It is demonstrated for a generic model of interacting systems whose basic units are the Poincaré oscillators. Their frequency and phase relationships are explored for different coupling strengths, both with and without Gaussian noise. The distinctions between additive linear or quadratic, and parametric (frequency modulated), interactions in the presence of noise are illustrated.

  • Received 8 January 2003

DOI:https://doi.org/10.1103/PhysRevE.68.016201

©2003 American Physical Society

Authors & Affiliations

Janez Jamšek1,2,3,*, Aneta Stefanovska1,3,†, Peter V. E. McClintock3,‡, and Igor A. Khovanov3,4,§

  • 1Group of Nonlinear Dynamics and Synergetics, Faculty of Electrical Engineering, University of Ljubljana, Tržaška 25, 1000 Ljubljana, Slovenia
  • 2Department of Physics and Technical Studies, Faculty of Education, University of Ljubljana, Kardeljeva ploščad 16, 1000 Ljubljana, Slovenia
  • 3Department of Physics, University of Lancaster, Lancaster LA1 4YB, United Kingdom
  • 4Laboratory of Nonlinear Dynamics, Saratov State Unversity, 410026 Saratov, Russia

  • *Electronic address: janez.jamsek@pef.uni-lj.si
  • Electronic address: aneta@osc.fe.uni-lj.si
  • Electronic address: p.v.e.mcclintock@lancaster.ac.uk
  • §Electronic address: igor@chaos.ssu.runnet.ru

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Vol. 68, Iss. 1 — July 2003

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