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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.
2015
2015
Thermoeconomic and thermoenvironomic modeling and analysis of selected gas turbine power plants in Nigeria
S. Oyedepo
,
R. Fagbenle
,
S. S. Adefila
,
M. Alam
2015
Corpus ID: 106667891
This study presents comprehensive thermoeconomic and thermoenvironomic modeling and analysis of selected gas turbine power plants…
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2010
2010
Face recognition based on DCT pyramid feature extraction
Randa Atta
,
M. Ghanbari
International Congress on Image and Signal…
2010
Corpus ID: 10729698
Face recognition is a challenging problem due to variations in pose, illumination, and expression. Most techniques that can…
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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
On the Entropy Rate of Pattern Processes
G. Gemelos
,
T. Weissman
IEEE Transactions on Information Theory
2005
Corpus ID: 734311
We study the entropy rate of pattern sequences of stochastic processes, and its relationship to the entropy rate of the original…
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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
2005
2005
The Entropy of a Binary Hidden Markov Process
O. Zuk
,
I. Kanter
,
E. Domany
arXiv.org
2005
Corpus ID: 7918332
The entropy of a binary symmetric Hidden Markov Process is calculated as an expansion in the noise parameter ε. We map the…
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2004
2004
On the entropy rate of a hidden Markov model
S. Egner
,
V. Balakirsky
,
L. Tolhuizen
,
C. Baggen
,
H. Hollmann
International Symposium onInformation Theory…
2004
Corpus ID: 2293445
In this article, the computation of the entropy rate H(y) of a binary-valued stochastic process (Y/sub 1/, Y/sub 2/,...) which is…
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2003
2003
On Entropy and Lyapunov Exponents for Finite-State Channels
T. Holliday
,
P. Glynn
,
A. Goldsmith
2003
Corpus ID: 8957709
The Finite-State Markov Channel (FSMC) is a time-varying channel having states that are characterized by a finite-state Markov…
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1998
1998
A Hybrid Approach t Word Segmentation
D. Kazakov
,
S. Manandhar
International Conference on Inductive Logic…
1998
Corpus ID: 17317630
This article presents a combination of unsupervised and supervised learning techniques for generation of word segmentation rules…
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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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