By Topic

Information and entropy in strange attractors

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

1 Author(s)
A. M. Fraser ; Dept. of Phys., Texas Univ., Austin, TX, USA

A technique for analyzing time-series data from experiments is presented that provides estimates of four basic characteristics of a system: (1) the measure-theoretic entropy; (2) the accuracy of the measurements; (3) the number of measurements necessary to specify a system state; and (4) the best delay time T to use in order to construct phase space portraits by the method of delays. These characteristics are obtained by separating the entropy of measurements into a part due to noise and parts due to deterministic effects. For the technique to work, the noise associated with each measurement must be independent of the noise associated with all other measurements. An algorithm for implementing the analysis is presented with three examples

Published in:

IEEE Transactions on Information Theory  (Volume:35 ,  Issue: 2 )