Results 21 to 30 of about 22,146 (252)
Multi-Level Wavelet Shannon Entropy-Based Method for Single-Sensor Fault Location
Entropy, 2015 In actual application, sensors are prone to failure because of harsh environments, battery drain, and sensor aging. Sensor fault location is an important step for follow-up sensor fault detection.
Qiaoning Yang, Jianlin Wang
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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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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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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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Shannon Entropy Reinterpreted [PDF]
Reports on Mathematical Physics, 2018 In this paper we remark that Shannon entropy can be expressed as a function of the self-information (i.e. the logarithm) and the inverse of the Lambert $W$ function. It means that we consider that Shannon entropy has the trace form: $-k \sum_{i} W^{-1} \circ \mathsf{ln}(p_{i})$.
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Statistical Estimation of the Shannon Entropy [PDF]
Acta Mathematica Sinica, English Series, 2018 The behavior of the Kozachenko - Leonenko estimates for the (differential) Shannon entropy is studied when the number of i.i.d. vector-valued observations tends to infinity. The asymptotic unbiasedness and L^2-consistency of the estimates are established. The conditions employed involve the analogues of the Hardy - Littlewood maximal function.
Bulinski, Alexander, Dimitrov, Denis
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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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Rényi Extrapolation of Shannon Entropy [PDF]
Open Systems & Information Dynamics, 2003 Relations between Shannon entropy and Rényi entropies of integer order are discussed. For any N-point discrete probability distribution for which the Rényi entropies of order two and three are known, we provide a lower and an upper bound for the Shannon entropy. The average of both bounds provide an explicit extrapolation for this quantity.
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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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