Results 31 to 40 of about 38,961 (295)
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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Comparative Analysis of Preference in Contemporary and Earlier Texts Using Entropy Measures [PDF]
, 2023 Research in computational textual aesthetics has shown that there are textual correlates of preference in prose texts. The present study investigates whether textual correlates of preference vary across different time periods (contemporary texts versus ...
Redies, Christoph +5 more
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Nonlinear heart rate variability features for real-life stress detection. Case study : students under stress due to university examination [PDF]
, 2011 Background: This study investigates the variations of Heart Rate Variability (HRV) due to a real-life stressor and proposes a classifier based on nonlinear features of HRV for automatic stress detection.
Melillo Paolo +11 more
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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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Entropy and co-entropy of a covering approximation space
International Journal of Approximate Reasoning, 2012 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ping Zhu 0001, Qiaoyan Wen
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The effect of signal acquisition and processing choices on ApEn values: Towards a “gold standard” for distinguishing effort levels from isometric force records [PDF]
, 2014 Approximate Entropy (ApEn) is frequently used to identify changes in the complexity of isometric force records with ageing and disease. Different signal acquisition and processing parameters have been used, making comparison or confirmation of results ...
Forrest, Sarah M. +2 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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Investigating the Predictability of Photovoltaic Power Using Approximate Entropy
Frontiers in Energy Research, 2021 The predictability concept of Photovoltaic (PV) power on the time series was presented and the approximate entropy algorithm and predictable coefficient were used to quantificationally analyze the predictability of PV power on time series, then the ...
Mao Yang +5 more
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Measurement Science Review, 2012 For non-solidly earthed network, the fault localization of single phase grounding fault has been a problem. A novel fault localization and fault type recognition method of single phase grounding fault based on approximate entropy is presented.
Pang Qingle +3 more
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Channel Entropy and Primitive Approximation
The Annals of Probability, 1982 For stationary channels, channel entropy is defined as the supremum of the conditional output entropy over all stationary input sources. If the channel is $\bar{d}$-continuous and conditionally almost block independent, channel entropy gives an upper bound to the output rate of the channel.
Neuhoff, David L., Shields, Paul C.
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