Results 91 to 100 of about 488,120 (194)
Uncertainty relations in terms of the Tsallis entropy [PDF]
Final version accepted in Phys. Rev. A.
Wilk, Grzegorz, Wlodarczyk, Zbigniew
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Hierarchical polygamy inequality for entanglement of tsallis q-entropy [PDF]
© 2018 Chinese Physical Society and IOP Publishing Ltd. In this paper, we study the polygamy inequality of quantum entanglement in terms of Tsallis q-entropy.
Yong-Ming Li, Li, YM, Luo, Y, Yu Luo
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Tsallis Entropy and Degeneracy
For a Maxwell-Boltzmann situation, one may consider the number of permutations of N particles with n(ei) of them having energy ei i.e. N!/ Product over i n(ei)!. In such a case, n(ei)! removes the degeneracy of the identical n(ei) particles. In order to convert the degeneracies into a sum, one takes ln of the number of permutations. In such a case one
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A NEW GENERALIZED VARENTROPY AND ITS PROPERTIES
The variance of Shannon information related to the random variable \(X\), which is called varentropy, is a measurement that indicates, how the information content of \(X\) is scattered around its entropy and explains its various applications in ...
Saeid Maadani +2 more
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A Characterization of Entropy in Terms of Information Loss
There are numerous characterizations of Shannon entropy and Tsallis entropy as measures of information obeying certain properties. Using work by Faddeev and Furuichi, we derive a very simple characterization.
Tom Leinster, John C. Baez, Tobias Fritz
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TSALLIS ENTROPY COMPOSITION AND THE HEISENBERG GROUP [PDF]
We present an embedding of the Tsallis entropy into the three-dimensional Heisenberg group, in order to understand the meaning of generalized independence as encoded in the Tsallis entropy composition property. We infer that the Tsallis entropy composition induces fractal properties on the underlying Euclidean space.
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TSALLIS ENTROPY BASED SEIZURE DETECTION [PDF]
This paper presents EEG signal analysis using Tsallis entropy and then it will make available for comparison with any another method along with KNN classification. Electroencephalogram (EEG) remains the most immediate, easy and rich source of information
MR.S.S.PAWAR +1 more
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A step beyond Tsallis and Rényi entropies [PDF]
Tsallis and Rényi entropy measures are two possible different generalizations of the Boltzmann-Gibbs entropy (or Shannon's information) but are not generalizations of each others. It is however the Sharma-Mittal measure, which was already defined in 1975 (B.D. Sharma, D.P.
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Source coding with Tsallis entropy [PDF]
An extension is presented to the source coding theorem traditionally based on the Shannon entropy and later generalised to the Rényi entropy. Another possible generalisation is demonstrated, with a lower bound realised by the Tsallis entropy, when the ...
D. Rousseau +5 more
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Tsallis entropy is a q-parameter extension of Shannon entropy. By extremizing the Tsallis entropy within the framework of fuzzy c-means clustering (FCM), a membership function similar to the statistical mechanical distribution function is obtained.
Makoto Yasuda
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