Results 31 to 40 of about 105,087 (310)
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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Extended Shannon entropies. II [PDF]
Czechoslovak Mathematical Journal, 1983 This paper examines functionals (called extended Shannon entropies), defined for all probability spaces equipped with a measurable metric, and coinciding with Shannon entropy for finite probability spaces endowed with the metric \(d(x,y)=1\), \(x\neq y\).
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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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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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On Characterization of Entropic Vectors at the Boundary of Almost Entropic Cones
, 2020 The entropy region is a fundamental object in information theory. An outer bound for the entropy region is defined by a minimal set of Shannon-type inequalities called elemental inequalities also referred to as the Shannon region.
Thakor, Satyajit, Tiwari, Hitika
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Measurements and Information in Spin Foam Models [PDF]
, 2013 We present a problem relating measurements and information theory in spin foam models. In the three dimensional case of quantum gravity we can compute probabilities of spin network graphs and study the behaviour of the Shannon entropy associated to the ...
Aczél J. +3 more
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Sudoku-inspired high-Shannon-entropy alloys [PDF]
Acta Materialia, 2022 Current definition of high-entropy alloys (HEAs) is commonly based on the configurational entropy. But this definition depends only on the chemical composition of a HEA and therefore cannot distinguish the information content that is encoded in various local atomic arrangements and measurable by the Shannon entropy in information theory. Here, inspired
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Shannon entropy and complexity measures for Bohr Hamiltonian with triaxial nuclei
Results in Physics, 2022 The Shannon entropy, disequilibrium, and complexity measures for n=0,1 in position and momentum space are investigated within the framework of Bohr Hamiltonian for triaxial nuclei with Davidson potential. The effect of the angular momentum quantum number
P.O. Amadi +8 more
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