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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Bibliographic Details
Published in:	Computing in science & engineering p. 1
Main Authors:	Shen, Bo-Wen, Cheung, Samson, Wu, Yu-ling, Li, Jui-Lin, Kao, David
Format:	Journal Article
Language:	English
Published:	IEEE 08.06.2017
Subjects:	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
Online Access:	Get full text
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