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Von Neumann entropy in a dispersive cavity [PDF]
Journal of Modern Optics, 2021 We study the von Neumann entropy of the partial trace of a system of two two-level atoms (qubits) in a dispersive cavity where the atoms are interacting collectively with a single mode electromagnetic field in the cavity. We make a contrast of this entanglement entropy with the spin squeezing property of the system. We find a close relationship between
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Feature extraction method of ship-radiated noise based on dispersion entropy: A review
Frontiers in Physics, 2023 There is abundant ship information in ship-radiated noise, which is helpful for ship target recognition, classification and tracking. However, owing to the increasing complexity of the marine environment, it makes difficult to extract S-RN features ...
Guanni Ji
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Fractal and Fractional, 2022 Slope entropy (SlEn) is a time series complexity indicator proposed in recent years, which has shown excellent performance in the fields of medical and hydroacoustics.
Yuxing Li, Lingxia Mu, Peiyuan Gao
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, 2021 This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).The family of cumulative paired -entropies offers a wide variety of ...
Weiß, Christian H.
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Microgravity Spherical Droplet Evaporation and Entropy Effects [PDF]
, 2023 Recent efforts to understand low-temperature combustion (LTC) in internal combustion engines highlight the need to improve chemical kinetic mechanisms involved in the negative temperature coefficient (aka cool flame) regime.
Depcik, Christopher
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Entropy-based feature extraction for electromagnetic discharges classification in high-voltage power generation [PDF]
, 2018 This work exploits four entropy measures known as Sample, Permutation, Weighted Permutation, and Dispersion Entropy to extract relevant information from Electromagnetic Interference (EMI) discharge signals that are useful in fault diagnosis of High ...
Nesbitt, Alan +4 more
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Dispersers for Affine Sources with Sub-polynomial Entropy [PDF]
2011 IEEE 52nd Annual Symposium on Foundations of Computer Science, 2011 We construct an explicit disperser for affine sources over $\F_2^n$ with entropy $k=2^{\log^{0.9} n}=n^{o(1)}$. This is a polynomial time computable function $D:\F_2^n \ar \B$ such that for every affine space $V$ of $\F_2^n$ that has dimension at least $k$, $D(V)=\set{0,1}$. This improves the best previous construction of Ben-Sasson and Kop party (STOC
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Interrelation of the concept of “uncertainty” in the information theory and theory of measurements
MATEC Web of Conferences, 2017 The problem of determining the optimal number of multiple measurements based on the type of the error distribution density of the measuring means is considered. The laws of distribution of a random variable are obtained, they ensure the extreme values of
Kopp Vadim +3 more
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Optimized Ship-Radiated Noise Feature Extraction Approaches Based on CEEMDAN and Slope Entropy
Entropy, 2022 Slope entropy (Slopen) has been demonstrated to be an excellent approach to extracting ship-radiated noise signals (S-NSs) features by analyzing the complexity of the signals; however, its recognition ability is limited because it extracts the features ...
Yuxing Li, Bingzhao Tang, Shangbin Jiao
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Amplitude- and Frequency-based Dispersion Patterns and Entropy
CoRR, 2017 Permutation patterns-based approaches, such as permutation entropy (PerEn), have been widely and successfully used to analyze data. However, these methods have two main shortcomings. First, when a series is symbolized based on permutation patterns, repetition as an unavoidable phenomenon in data is not took in to account. Second, they consider only the
Hamed Azami, Javier Escudero
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