"Mutual Information, Strange Attractors, and the Optimal Estimation of " by J. M. Martinerie, Alfonso M. Albano et al.
 

Document Type

Article

Version

Publisher's PDF

Publication Title

Physical Review A

Volume

45

Publication Date

5-15-1992

Abstract

It has been shown that the appropriate setting of data windows is crucial to a successful estimation of a time-series correlation dimension using the Grassberger-Procaccia algorithm [Physica 9D, 189 (1983); Phys. Rev. Lett. 50, 346 (1983)], and it has been proposed that the first minimum of the corresponding mutual-information function may be an appropriate window value. We have tested this hypothesis against data generated by the Rossler equations, the Lorenz equations, and a three-dimensional irrational torus. We conclude that mutual information is not consistently successful in identifying the optimal window.

DOI

10.1103/PhysRevA.45.7058

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