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Entropy rate
Known as:
Source information rate
In the mathematical theory of probability, the entropy rate or source information rate of a stochastic process is, informally, the time density of…
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Related topics
Related topics
12 relations
Asymptotic equipartition property
Bayesian network
Entropy (information theory)
Grammar-based code
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Broader (1)
Information theory
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2019
2019
Detection of congestive heart failure from short-term heart rate variability segments using hybrid feature selection approach
A. Jović
,
K. Brkić
,
G. Krstačić
Biomedical Signal Processing and Control
2019
Corpus ID: 197492161
2011
2011
Permutation Complexity via Duality between Values and Orderings
T. Haruna
,
K. Nakajima
arXiv.org
2011
Corpus ID: 15270455
Highly Cited
2010
Highly Cited
2010
Measuring visual saliency by Site Entropy Rate
Wei Wang
,
Yizhou Wang
,
Qingming Huang
,
Wen Gao
IEEE Computer Society Conference on Computer…
2010
Corpus ID: 14820910
In this paper, we propose a new computational model for visual saliency derived from the information maximization principle. The…
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Highly Cited
2008
Highly Cited
2008
LQG optimality and separation principle for general discrete time partially observed stochastic systems over finite capacity communication channels
C. Charalambous
,
A. Farhadi
at - Automatisierungstechnik
2008
Corpus ID: 12782416
2005
2005
Mutual information based distance measures for classification and content recognition with applications to genetics
Z. Dawy
,
J. Hagenauer
,
P. Hanus
,
Jakob C. Mueller
IEEE International Conference on Communications…
2005
Corpus ID: 634399
Possibilities of using mutual information for classification and content recognition are exploited. Two different mutual…
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2005
2005
Reliability-based critical earthquake load models. Part 1: linear structures
A. M. Abbas
,
C. Manohar
2005
Corpus ID: 59440417
Highly Cited
1998
Highly Cited
1998
The Interactions Between Ergodic Theory and Information Theory
P. Shields
IEEE Transactions on Information Theory
1998
Corpus ID: 14641801
Information theorists frequently use the ergodic theorem; likewise entropy concepts are often used in information theory…
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Highly Cited
1994
Highly Cited
1994
Computing with very weak random sources
A. Srinivasan
,
David Zuckerman
Proceedings 35th Annual Symposium on Foundations…
1994
Corpus ID: 2418753
For any fixed /spl epsiv/>0, we show how to simulate RP algorithms in time n/sup O(log n/) using the output of a /spl delta…
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Highly Cited
1994
Highly Cited
1994
Channel simulation and coding with side information
Y. Steinberg
,
S. Verdú
IEEE Transactions on Information Theory
1994
Corpus ID: 7731673
Studies the minimum random bit rate required to simulate a random system (channel), where the simulator operates with a given…
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Highly Cited
1993
Highly Cited
1993
Forecasting financial markets
Tony Plummer
1993
Corpus ID: 153658159
The second edition of this controversial book examines how technical analysis can be used to predict price trends accurately and…
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