Results 41 to 50 of about 103,946 (261)
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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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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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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Entropies based on fractional calculus [PDF]
, 2009 We propose entropy functions based on fractional calculus. We show that this new entropy has the same properties than the Shannon entropy except additivity, therefore making this entropy non-extensive.
Ubriaco, Marcelo R.
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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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A Dynamical Systems-Based Hierarchy for Shannon, Metric and Topological Entropy
Entropy, 2019 A rigorous dynamical systems-based hierarchy is established for the definitions of entropy of Shannon (information), Kolmogorov−Sinai (metric) and Adler, Konheim & McAndrew (topological).
Raymond Addabbo, Denis Blackmore
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Statistical estimation of conditional Shannon entropy [PDF]
ESAIM: Probability and Statistics, 2019 The new estimates of the conditional Shannon entropy are introduced in the framework of the model describing a discrete response variable depending on a vector ofdfactors having a density w.r.t. the Lebesgue measure in ℝd. Namely, the mixed-pair model (X,Y) is considered whereXandYtake values in ℝdand an arbitrary finite set, respectively.
Alexander Bulinski, Alexey Kozhevin
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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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Guesswork, Large Deviations, and Shannon Entropy [PDF]
IEEE Transactions on Information Theory, 2013 How hard is it guess a password? Massey showed that that the Shannon entropy of the distribution from which the password is selected is a lower bound on the expected number of guesses, but one which is not tight in general. In a series of subsequent papers under ever less restrictive stochastic assumptions, an asymptotic relationship as password length
Christiansen, Mark M., Duffy, Ken R.
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Shannon Entropy Analysis of Reservoir-Triggered Seismicity at Song Tranh 2 Hydropower Plant, Vietnam
Applied Sciences, 2022 The reservoir-triggered seismicity at the Song Tranh 2 reservoir in Vietnam is investigated by using Shannon entropy, a well-known informational method used to analyze complexity in time series in terms of disorder and uncertainty. The application of the
Luciano Telesca +4 more
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