Quantification of cross correlations in complex spatiotemporal systems

Markus Müller, Katja Wegner, Ursula Kummer, and Gerold Baier
Phys. Rev. E 73, 046106 – Published 6 April 2006

Abstract

We propose a design of the equal time correlation matrix suitable for the analysis of multivariate time series with ill-defined phases. We present the cross-correlation analysis of model data sets taken from coupled stochastic oscillators and compare the concept with the results obtained from a conventional correlation matrix analysis. We show that the concept provides a higher sensitivity combined with a better statistical significance when quantifying weak cross correlations.

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  • Received 16 August 2005

DOI:https://doi.org/10.1103/PhysRevE.73.046106

©2006 American Physical Society

Authors & Affiliations

Markus Müller1,*, Katja Wegner2, Ursula Kummer2, and Gerold Baier1

  • 1Facultad de Ciencias, Universidad Autónoma del Estado de Morelos, 62210 Cuernavaca, Morelos, Mexico
  • 2Bioinformatics and Computational Biochemistry, EML Research, Schloss-Wolfsbrunnenweg 33, 69118 Heidelberg, Germany

  • *Corresponding author. Electronic address: muellerm@servm.fc.uaem.mx

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Issue

Vol. 73, Iss. 4 — April 2006

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