Results 21 to 30 of about 29,533 (242)
A Review of Shannon and Differential Entropy Rate Estimation
, 2021 In this paper, we present a review of Shannon and differential entropy rate estimation techniques. Entropy rate, which measures the average information gain from a stochastic process, is a measure of uncertainty and complexity of a stochastic process. We
Andrew Feutrill, Matthew Roughan
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Entropy Region and Network Information Theory [PDF]
, 2011 This dissertation takes a step toward a general framework for solving network information theory problems by studying the capacity region of networks through the entropy region.
Sormeh Shadbakht, Shadbakht, Sormeh
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Alternative Entropy Measures and Generalized Khinchin–Shannon Inequalities
, 2021 The Khinchin–Shannon generalized inequalities for entropy measures in Information Theory, are a paradigm which can be used to test the Synergy of the distributions of probabilities of occurrence in physical systems.
Simão C. de Albuquerque Neto +1 more
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Tsallis Wavelet Entropy and Its Application in Power Signal Analysis
Entropy, 2014 As a novel data mining approach, a wavelet entropy algorithm is used to perform entropy statistics on wavelet coefficients (or reconstructed signals) at various wavelet scales on the basis of wavelet decomposition and entropy statistic theory.
Jikai Chen, Guoqing Li
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Maximal Shannon entropy in the vicinity of an exceptional point in an open microcavity
Scientific Reports, 2020 The Shannon entropy as a measure of information contents is investigated around an exceptional point (EP) in an open elliptical microcavity as a non-Hermitian system. The Shannon entropy is maximized near the EP in the parameter space for two interacting
Kyu-Won Park +3 more
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Research on the Source Convergence Diagnose Method of Monte Carlo Critical Calculation for Loosely Coupled System [PDF]
EPJ Web of ConferencesIn order to improve the reliability and accuracy of Monte Carlo program in the critical safety calculation of loosely coupled systems, an improved Shannon entropy diagnose method considering the distribution of fission sources and the statistical bias is
Cheng Yuting +5 more
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Quantum information-entropic measures for exponential-type potential
Results in Physics, 2020 The approximate solutions of the Schrödinger equation with the central generalized Hulthén and Yukawa potential are investigated within the framework of the functional method. The obtained wave function and the energy levels are used to study the Shannon
A.N. Ikot +5 more
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Statistical Correlations of the N-particle Moshinsky Model
Entropy, 2015 We study the correlation of the ground state of an N-particle Moshinsky model by computing the Shannon entropy in both position and momentum spaces. We have derived the Shannon entropy and mutual information with analytical forms of such an N-particle ...
Hsuan Tung Peng, Yew Kam Ho
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Shannon entropy and particle decays
Nuclear Physics B, 2018 We deploy Shannon's information entropy to the distribution of branching fractions in a particle decay. This serves to quantify how important a given new reported decay channel is, from the point of view of the information that it adds to the already ...
Pedro Carrasco Millán +4 more
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Small Target Detection in Sea Clutter Background Based on Tsallis Entropy of Doppler Spectrum
Leida xuebao, 2019 According to the different concentration levels of Doppler spectrum between sea clutter and target, small target in sea clutter background can be detected using Shannon entropy.
CHEN Shichao +3 more
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