Variability at low frequencies with wavelet transform and empirical mode decomposition: Aplication to climatological series

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The aim of this study is to detect variability at low frequencies and trend of time series connected with climate using two different processing techniques. In previous work the wavelet transform and models of pure oscillations with statistical parameter setting were applied to the series of surface...

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Detalles Bibliográficos
Autores principales: Zitto, M.E., Piotrkowski, R., Barrucand, M., Canziani, P.
Formato: CONF
Materias:
empirical mode decomposition
Orcadas temperature
time series
wavelet transform
Atmospheric temperature
Information science
Time series
Wavelet decomposition
Complementary characteristics
Empirical Mode Decomposition
Empirical mode decomposition method
Long-term behavior
Processing technique
Stationary components
Statistical parameters
Surface temperatures
Wavelet transforms
Acceso en línea:http://hdl.handle.net/20.500.12110/paper_97814673_v_n_p_Zitto
Aporte de:
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires

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