Parallel Implementation of the Ensemble Empirical Mode Decomposition (PEEMD) and Its Application for Earth Science Data Analysis

To efficiently perform multiscale analysis of high-resolution, global, multiple-dimensional data sets, we have deployed the parallel ensemble empirical mode decomposition (PEEMD) package by implementing three-level parallelism into the ensemble Empirical Mode Decomposition (EMD), achieving a paralle...

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Vydané v:	Computing in science & engineering s. 1
Hlavní autori:	Shen, Bo-Wen, Cheung, Samson, Wu, Yu-ling, Li, Jui-Lin, Kao, David
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	IEEE 08.06.2017
Predmet:	and Visualization Bridges Computational modeling Empirical mode decomposition G Mathematics of Computing G.4 Mathematical Software G.4.a Algorithm design and analysis G.4.e Parallel and vector implementations Hurricanes I Computing Methodologies I.4 Image Processing and Computer Vision I.4.10 Image Representation I.4.10.c Multidimensional I.6 Simulation I.6.4 Model Validation and Analysis I.6.8 Types of Simulation I.6.8.h Parallel Modeling Object recognition Parallel processing
ISSN:	1521-9615
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