Results 11 to 20 of about 742,791 (250)
New Fast ApEn and SampEn Entropy Algorithms Implementation and Their Application to Supercomputer Power Consumption [PDF]
Entropy, 2020 Approximate Entropy and especially Sample Entropy are recently frequently used algorithms for calculating the measure of complexity of a time series. A lesser known fact is that there are also accelerated modifications of these two algorithms, namely ...
Jiří Tomčala
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Frontiers in Genetics, 2021 Classification is widely used in gene expression data analysis. Feature selection is usually performed before classification because of the large number of genes and the small sample size in gene expression data.
Hengyi Zhang
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IEEE Access, 2023 An automated Neurological Disorder detection system can be considered as a cost-effective and resource efficient tool for medical and healthcare applications.
S. Janifer Jabin Jui +5 more
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Approximate entropy as an indicator of non-linearity in self paced voluntary finger movement EEG [PDF]
, 2013 This study investigates the indications of non-linear dynamic structures in electroencephalogram signals. The iterative amplitude adjusted surrogate data method along with seven non-linear test statistics namely the third order autocorrelation, asymmetry
Balli, Tugce +2 more
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Approximate entropy and auto mutual information analysis of the electroencephalogram in Alzheimer's disease patients [PDF]
, 2008 We analysed the electroencephalogram (EEG) from Alzheimer's disease (AD) patients with two nonlinear methods: approximate entropy (ApEn) and auto mutual information (AMI).
Gomez, C. +4 more
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Entropy, 2022 The empirical entropy is a key statistical measure of data frequency vectors, enabling one to estimate how diverse the data are. From the computational point of view, it is important to quickly compute, approximate, or bound the entropy. In a distributed
Amit Shahar, Yuval Alfassi, Daniel Keren
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On Quantization Errors in Approximate and Sample Entropy
Entropy, 2021 Approximate and sample entropies are acclaimed tools for quantifying the regularity and unpredictability of time series. This paper analyses the causes of their inconsistencies.
Dragana Bajić, Nina Japundžić-Žigon
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Free and classical entropy over the circle. [PDF]
, 2007 Relative entropy with respect to normalized arclength measure on the circle is greater than or equal to the negative logarithmic energy (Voiculescu's negative free entropy) and is greater than or equal to the modified relative free entropy.
Blower, Gordon
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Relative Consistency of Sample Entropy Is Not Preserved in MIX Processes
Entropy, 2020 Relative consistency is a notion related to entropic parameters, most notably to Approximate Entropy and Sample Entropy. It is a central characteristic assumed for e.g., biomedical and economic time series, since it allows the comparison between ...
Sebastian Żurek +5 more
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A Multithreaded Algorithm for the Computation of Sample Entropy
Algorithms, 2023 Many popular entropy definitions for signals, including approximate and sample entropy, are based on the idea of embedding the time series into an m-dimensional space, aiming to detect complex, deeper and more informative relationships among samples ...
George Manis +2 more
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