Entropy and recurrence rates for stationary random fields

Donald Ornstein; Benjamin Weiss

Entropy and recurrence rates for stationary random fields

Donald Ornstein^*
, Benjamin Weiss

^*Corresponding author for this work

Research output: Contribution to conference › Paper › peer-review

1 Scopus citations

Abstract

The entropy of a stationary multi-dimensional array of random variables is related to the rate of recurrence of the patterns that are seen in the center of the array. The results give the possibility of calculating the entropy of a process from a single set of observations without computation of probabilities.

Original language	English
State	Published - 1994
Externally published	Yes
Event	Proceedings of the 1994 IEEE International Symposium on Information Theory - Trodheim, Norw Duration: 27 Jun 1994 → 1 Jul 1994

Conference

Conference	Proceedings of the 1994 IEEE International Symposium on Information Theory
City	Trodheim, Norw
Period	27/06/94 → 1/07/94

Cite this

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abstract = "The entropy of a stationary multi-dimensional array of random variables is related to the rate of recurrence of the patterns that are seen in the center of the array. The results give the possibility of calculating the entropy of a process from a single set of observations without computation of probabilities.",

author = "Donald Ornstein and Benjamin Weiss",

year = "1994",

language = "אנגלית",

note = "Proceedings of the 1994 IEEE International Symposium on Information Theory ; Conference date: 27-06-1994 Through 01-07-1994",

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AU - Ornstein, Donald

AU - Weiss, Benjamin

PY - 1994

Y1 - 1994

N2 - The entropy of a stationary multi-dimensional array of random variables is related to the rate of recurrence of the patterns that are seen in the center of the array. The results give the possibility of calculating the entropy of a process from a single set of observations without computation of probabilities.

AB - The entropy of a stationary multi-dimensional array of random variables is related to the rate of recurrence of the patterns that are seen in the center of the array. The results give the possibility of calculating the entropy of a process from a single set of observations without computation of probabilities.

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T2 - Proceedings of the 1994 IEEE International Symposium on Information Theory

Y2 - 27 June 1994 through 1 July 1994

ER -

Entropy and recurrence rates for stationary random fields

Abstract

Conference

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