Registro completo |
Provedor de dados: |
ArchiMer
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País: |
France
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Título: |
Advanced spectral analysis and cross correlation based on the empirical mode decomposition: application to the environmental time series
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Autores: |
Ben Ismail, Dhouha Kbaier
Lazure, Pascal
Puillat, Ingrid
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Data: |
2015-09
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Ano: |
2015
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Palavras-chave: |
Augmented Dickey-Fuller tests
Cross correlation
Empirical mode decomposition (EMD)
Hilbert spectral analysis (HSA)
Hilbert-Huang transform (HHT)
Stationarity
Time-dependent intrinsic correlation (TDIC)
Time series
Wavelets
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Resumo: |
Abstract—In marine sciences, time series are often nonlinear and nonstationary. Adequate and specific methods are needed to analyze such series. In this paper, an application of the Empirical Mode Decomposition method (EMD) associated to the Hilbert Spectral Analysis (HSA) is presented. Furthermore, EMD based Time Dependent Intrinsic Correlation (TDIC) analysis is applied to consider the correlation between two nonstationary time series. Four temperature time series obtained from automatic measurements in nearshore waters of the Réunion island are considered, recorded every ten minutes from July 2011 to January 2012. The application of the EMD on these series and the estimation of their power spectra using the HSA are illustrated. The authors identify low-frequency tidal waves and display the pattern of correlations at different scales and different locations. By TDIC analysis, it was concluded that the high frequency modes have small correlation, whereas the trends are perfectly correlated.
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Tipo: |
Text
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Idioma: |
Inglês
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Identificador: |
http://archimer.ifremer.fr/doc/00270/38077/36205.pdf
DOI:10.1109/LGRS.2015.2441374
http://archimer.ifremer.fr/doc/00270/38077/
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Editor: |
Ieee-inst Electrical Electronics Engineers Inc
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Formato: |
application/pdf
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Fonte: |
Ieee Geoscience And Remote Sensing Letters (1545-598X) (Ieee-inst Electrical Electronics Engineers Inc), 2015-09 , Vol. 12 , N. 9 , P. 1968-1972
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Direitos: |
2015 IEEE
info:eu-repo/semantics/openAccess
restricted use
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