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Published in 2020 at "Environmental Fluid Mechanics"
DOI: 10.1007/s10652-020-09771-5
Abstract: The quantification of turbulent mixing in nature is predicated by inherent randomness of causal events, and obtaining relevant turbulence statistics requires ensemble averaging of identical realizations that are unachievable in field observations or onerous in…
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Keywords:
averaging environmental;
phase aligned;
aligned ensemble;
environmental flow ... See more keywords
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Published in 2019 at "Applied Acoustics"
DOI: 10.1016/j.apacoust.2019.06.026
Abstract: Abstract In this study, we demonstrated the practicability of an ensemble averaging method: EA pu method using pressure-velocity sensors (pu-sensors) to measure the absorption coefficient and surface normal impedance of materials. Improvements in pu-sensor calibration…
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Keywords:
ensemble averaging;
method;
practicability ensemble;
absorption ... See more keywords
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Published in 2017 at "IEEE Transactions on Medical Imaging"
DOI: 10.1109/tmi.2016.2595329
Abstract: We propose an algorithm for electrical source imaging of epileptic discharges that takes a data-driven approach to regularizing the dynamics of solutions. The method is based on linear system identification on short time segments, combined…
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Keywords:
epileptic discharges;
electrical source;
ensemble averaging;
source imaging ... See more keywords
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Published in 2018 at "Psychophysiology"
DOI: 10.1111/psyp.13018
Abstract: MEAP, the moving ensemble analysis pipeline, is a new open-source tool designed to perform multisubject preprocessing and analysis of cardiovascular data, including electrocardiogram (ECG), impedance cardiogram (ICG), and continuous blood pressure (BP). In addition to…
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Keywords:
ensemble averaging;
cardiovascular state;
moving ensemble;
quantifying rapid ... See more keywords
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Published in 2023 at "Journal of Vision"
DOI: 10.1167/jov.23.1.5
Abstract: Many studies have shown that observers can accurately estimate the average feature of a group of objects. However, the way the visual system relies on the information from each individual item is still under debate.…
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Keywords:
ensemble averaging;
feature distributions;
model;
skewed feature ... See more keywords
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Published in 2017 at "Journal of Climate"
DOI: 10.1175/jcli-d-17-0197.1
Abstract: AbstractWhen comparing climate models to observations it is often observed that the mean over many models has smaller errors than most or all of the individual models. We will show that a general consequence of…
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Keywords:
high dimensional;
averaging curse;
ensemble averaging;
ensemble mean ... See more keywords