Localized short-range correlations in the spectrum of the equal-time correlation matrix

Phys Rev E Stat Nonlin Soft Matter Phys. 2006 Oct;74(4 Pt 1):041119. doi: 10.1103/PhysRevE.74.041119. Epub 2006 Oct 24.

Abstract

We suggest a procedure to identify those parts of the spectrum of the equal-time correlation matrix C where relevant information about correlations of a multivariate time series is induced. Using an ensemble average over each of the distances between eigenvalues, all nearest-neighbor distributions can be calculated individually. We present numerical examples, where (a) information about cross correlations is found in the so-called "bulk" of eigenvalues (which generally is thought to contain only random correlations) and where (b) the information extracted from the lower edge of the spectrum of C is statistically more significant than that extracted from the upper edge. We apply the analysis to electroencephalographic recordings with epileptic events.