• DocumentCode
    1009687
  • Title

    Measuring the direction and the strength of coupling in nonlinear Systems-a modeling approach in the State space

  • Author

    Veeramani, Balaji ; Narayanan, K. ; Prasad, Awadhesh ; Iasemidis, Leon D. ; Spanias, Andreas S. ; Tsakalis, Konstantinos

  • Author_Institution
    Harrington Dept. of Bioeng., Arizona State Univ., Tempe, AZ, USA
  • Volume
    11
  • Issue
    7
  • fYear
    2004
  • fDate
    7/1/2004 12:00:00 AM
  • Firstpage
    617
  • Lastpage
    620
  • Abstract
    We present a novel signal processing methodology to determine the direction and the strength of coupling between coupled nonlinear systems. The methodology is based on multivariate local linear prediction in the reconstructed state spaces of the observed variables from each multivariable nonlinear system. Application of the method is illustrated with systems of coupled Rossler and Lorenz oscillators in various coupling configurations. The obtained results are compared with ones produced by the use of the directed transfer function, a model-based method in the time domain. Through a surrogate analysis, it is shown that the proposed method is more reliable than the directed transfer function in identifying the direction and strength of the involved interactions.
  • Keywords
    directional couplers; multivariable systems; nonlinear systems; oscillators; prediction theory; signal processing; telecommunication channels; Lorenz oscillator; coupled Rossler oscillator; coupled nonlinear systems; directional coupling; multichannel analysis; multivariate local linear prediction; signal processing method; state space; surrogate analysis; Biomedical engineering; Control systems; Couplings; Nonlinear dynamical systems; Nonlinear systems; Oscillators; Signal processing; State-space methods; Transfer functions; Vectors;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9908
  • Type

    jour

  • DOI
    10.1109/LSP.2004.830120
  • Filename
    1306477