(Enter summary)
Abstract: The historical search for the fundamental
meaning of thermodynamic entropy lead
to the discovery of the connection between
entropy and information about microscopic
dynamics, which in turn motivated the development
of the theory of information in
communications. In this paper I will review
how information theory can profitably be applied
back to its roots in dynamics in order
to characterize the essential properties of a
measured time series.
Entropy was introduced in the familiar modern
form... (Update)
Context of citations to this paper: More
...the theoretical limits for linear models. KS entropy estimates suggest that still better performance is possible. For references, see [31, 32, 33]. Practical Entropy Computation in Complex Systems Neil Gershenfeld, MIT Media Lab neilg media.mit.edu I will discuss the interplay...
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BibTeX entry: (Update)
N. Gershenfeld. Information in dynamics. In Workshop on Physics and Computation: PhysComp92, pages 276--280. IEEE Computer Society, 1992. http://citeseer.ist.psu.edu/gershenfeld92information.html More
@misc{ gershenfeld92information,
author = "N. Gershenfeld",
title = "Information in dynamics",
text = "N. Gershenfeld. Information in dynamics. In Workshop on Physics and Computation:
PhysComp92, pages 276--280. IEEE Computer Society, 1992.",
year = "1992",
url = "citeseer.ist.psu.edu/gershenfeld92information.html" }
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IEEE Trans (context) - Fraser - 1989
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Maxwell's Demon: Entropy (context) - Leff, Rex - 1990
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logistic map quasiperiodic random Henon map (context) - Preparata, Shamos et al. - 1985
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personal communication (context) - Ruelle
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