Results 21 to 30 of about 19,429 (283)
Spectral Entropy, Empirical Entropy and Empirical Exergy for Deterministic Boundary-Layer Structures [PDF]
Entropy, 2013 A modified form of the Townsend equations for the fluctuating velocity wave vectors is applied to a laminar three-dimensional boundary-layer flow in a methane fired combustion channel flow environment. The objective of this study is to explore the applicability of a set of low dimensional, coupled, nonlinear differential equations for the prediction of
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Entropy, 2014 A computational procedure is developed to determine initial instabilities within a three-dimensional laminar boundary layer and to follow these instabilities in the streamwise direction through to the resulting intermittency exponents within a fully ...
LaVar King Isaacson
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Large deviations for empirical entropies ofg-measures [PDF]
Nonlinearity, 2005 Summary: The entropy of an ergodic finite-alphabet process can be computed from a single typical sample path \(x^n_1\) using the entropy of the \(k\)-block empirical probability and letting k grow with \(n\) roughly like \(\log n\). We further assume that the distribution of the process is a g-measure.
J. R. CHAZOTTES, GABRIELLI, DAVIDE
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Entropy Generation through a Deterministic Boundary-Layer Structure in Warm Dense Plasma
Entropy, 2014 The computational prediction of nonlinear interactive instabilities in three-dimensional boundary layers is obtained for a warm dense plasma boundary layer environment.
LaVar King Isaacson
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Non-Monotonic Complexity of Stochastic Model of the Channel Gating Dynamics
Entropy, 2023 The simple model of an ionic current flowing through a single channel in a biological membrane is used to depict the complexity of the corresponding empirical data underlying different internal constraints and thermal fluctuations. The residence times of
Lukasz Machura +3 more
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Sequential Empirical Coordination Under an Output Entropy Constraint [PDF]
IEEE Transactions on Information Theory, 2016 This paper considers the problem of sequential empirical coordination, where the objective is to achieve a given value of the expected uniform deviation between state-action empirical averages and statistical expectations under a given strategic probability measure, with respect to a given universal Glivenko-Cantelli class of test functions.
Ehsan Shafieepoorfard, Maxim Raginsky
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Entropy, 2016 In order to solve the problem of feature extraction of underwater acoustic signals in complex ocean environment, a new method for feature extraction from ship-radiated noise is presented based on empirical mode decomposition theory and permutation ...
Yu-Xing Li +3 more
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Adaptive cluster expansion for the inverse Ising problem: convergence, algorithm and tests [PDF]
, 2011 We present a procedure to solve the inverse Ising problem, that is to find the interactions between a set of binary variables from the measure of their equilibrium correlations.
A. Georges +42 more
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Entropy concentration and the empirical coding game [PDF]
Statistica Neerlandica, 2008 AbstractWe give a characterization of maximum entropy/minimum relative entropy inference by providing two ‘strong entropy concentration’ theorems. These theorems unify and generalize Jaynes’‘concentration phenomenon’ and Van Campenhout and Cover's ‘conditional limit theorem’.
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Entropy and Efficiency of the ETF Market [PDF]
, 2019 We investigate the relative information efficiency of financial markets by measuring the entropy of the time series of high frequency data. Our tool to measure efficiency is the Shannon entropy, applied to 2-symbol and 3-symbol discretisations of the ...
A Shmilovici +11 more
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