Transplanckian dispersion relation and entanglement entropy of blackhole [PDF]
AbstractThe quantum correction to the entanglement entropy of the event horizon is plagued by the UV divergence due to the infinitely blue‐shifted near horizon modes. The resolution of this UV divergence provides an excellent window to a better understanding and control of the quantum gravity effects.
Chang, Darwin +2 more
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On the dispersion of entropy waves in turbulent flows [PDF]
Abstract
Markus Weilenmann +2 more
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Multi-Abnormal ECG Signal Classification using Dispersion Entropy and Statistic Feature
ABSTRAK Elektrokardiogram (EKG) adalah salah satu perangkat medis yang paling banyak digunakan untuk mendiagnosis masalah jantung. Sinyal abnorma EKG mempunyai variasi dan beberapa mirip antara yang satu dengan lainnya.
ERVIN MASITA DEWI +2 more
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Application of Dispersion Entropy for the Detection of Emotions With Electroencephalographic Signals
The interest in the application of nonlinear method ologies for the analysis of EEG signals for automatic recognition of emotions has increased notably. A vast number of studies in the research field of emotions detection have focused on the identification of the four quadrants of the valence-arousal emotional model.
Beatriz Garcia-Martinez +3 more
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Insights into Entropy as a Measure of Multivariate Variability
Entropy has been widely employed as a measure of variability for problems, such as machine learning and signal processing. In this paper, we provide some new insights into the behaviors of entropy as a measure of multivariate variability.
Badong Chen +3 more
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Normal Cumulative Distribution Function and Dispersion Entropy Based EMG Classification
Electromyography (EMG) is used to measure muscle activity. EMG signals are widely used in many biomedical practices such as motion recognition, prosthetic control, physical rehabilitation, and human-computer interfaces.
Muzaffer Aslan
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Optimized Ship-Radiated Noise Feature Extraction Approaches Based on CEEMDAN and Slope Entropy
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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Von Neumann entropy in a dispersive cavity [PDF]
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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Dispersers for Affine Sources with Sub-polynomial Entropy [PDF]
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
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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