We propose an extension for Empirical Mode Decomposition (EMD) that works for multivariate functions defined on scattered finite dimensional domains and extend this to the case of vector-valued functions using principal curves. After the decomposition is performed, we classify the obtained modes using a vector that measures the average period of oscillation in each direction. Finally, we show an interesting application to a spatio-temporal problem on population dynamics for Dengue Haemorrhagic Fever on Tailand

Empirical mode decomposition on scattered datasets

VENTURINO, Ezio
2008-01-01

Abstract

We propose an extension for Empirical Mode Decomposition (EMD) that works for multivariate functions defined on scattered finite dimensional domains and extend this to the case of vector-valued functions using principal curves. After the decomposition is performed, we classify the obtained modes using a vector that measures the average period of oscillation in each direction. Finally, we show an interesting application to a spatio-temporal problem on population dynamics for Dengue Haemorrhagic Fever on Tailand
2008
CMMSE 2008
La Manga, Murcia, Spagna.
12-16 giugno 2008
Proceedings of the 2008 CMMSE
J. Vigo Aguiar, H. Khanal, J.L. Garcia Guirao, S. Oharu, E. Venturino.
2
691
698
9788461219827
Empirical mode decomposition; epidemics
R. G. d'A. Vilamiu; W.C. Ferreira Jr.; E. Venturino
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/50381
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