Results 31 to 40 of about 23,082 (239)

Transplanckian dispersion relation and entanglement entropy of blackhole [PDF]

open access: yesFortschritte der Physik, 2004
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
openaire   +2 more sources

On the dispersion of entropy waves in turbulent flows [PDF]

open access: yesJournal of Fluid Mechanics, 2020
Abstract
Markus Weilenmann   +2 more
openaire   +2 more sources

Multi-Abnormal ECG Signal Classification using Dispersion Entropy and Statistic Feature

open access: yesJurnal Elkomika, 2022
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
doaj   +1 more source

Application of Dispersion Entropy for the Detection of Emotions With Electroencephalographic Signals

open access: yesIEEE Transactions on Cognitive and Developmental Systems, 2022
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
openaire   +2 more sources

Insights into Entropy as a Measure of Multivariate Variability

open access: yesEntropy, 2016
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
doaj   +1 more source

Normal Cumulative Distribution Function and Dispersion Entropy Based EMG Classification

open access: yesSakarya University Journal of Computer and Information Sciences, 2020
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
doaj   +1 more source

Optimized Ship-Radiated Noise Feature Extraction Approaches Based on CEEMDAN and Slope Entropy

open access: yesEntropy, 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
doaj   +1 more source

Von Neumann entropy in a dispersive cavity [PDF]

open access: yesJournal 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
openaire   +2 more sources

Dispersers for Affine Sources with Sub-polynomial Entropy [PDF]

open access: yes2011 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
openaire   +2 more sources

Interrelation of the concept of “uncertainty” in the information theory and theory of measurements

open access: yesMATEC 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
doaj   +1 more source

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