Multidimensional Feature Explorer for Unbalanced Spatiotemporal Data

Multidimensional Feature Explorer for Unbalanced Spatiotemporal Data

Abstract Feature analysis of weak nonlinear signals from geographic spatiotemporal data has received increasing attention. Most existing signal processing methods cannot effectively perform comprehensive feature analysis because of the multiple dimensions and unbalance of spatiotemporal data. We dev...

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Bibliographic Details
Main Authors: Dongshuang Li, Hong Gao, Wen Luo, Zhaoyuan Yu, Linwang Yuan
Format: Article
Language:English
Published: American Geophysical Union (AGU) 2019-05-01
Series:Earth and Space Science
Subjects:
spatiotemporal data
dimensional unbalance
signal extraction
tensor decomposition
data aggregation
Online Access:https://doi.org/10.1029/2018EA000514

Internet

https://doi.org/10.1029/2018EA000514

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