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
Link To Document :
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