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The feature extraction is implemented in PHP.
The penetration feature extraction is implemented in the preprocessed signal.
This will cause a large calculation burden since feather extraction is implemented in a very high-dimensional vector space.
To address this problem, the feature extraction is implemented on a map-reduce framework.
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Feature extraction was implemented in the present work using two alternative approaches.
Algorithms for ECG enhancement, ECG quality evaluation and ECG parameters extraction were implemented in the system.
In our study, pre-processing and feature extraction were implemented in Matlab 8.3 [26] using a toolbox [27].
Function of signal analysis and fault feature extraction was implemented with virtual instrument technology based on LabVIEW.
In our previous studies, the SE feature extraction was implemented on an unprocessed dataset [26, 27, 28, 29] with motion and muscle artifacts.
The module of acoustic feature extraction was implemented based on the tool of openSMILE [47], an open-source software that can extract many low-level acoustic features and statistic functionals.
An efficient catalyst recycling concept via extraction was implemented, resulting in a very low catalyst leaching for both iridium and phosphorus (0.1%/h) and a steady state plant operation over 90 h.
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