Hilbert-Huang transform analysis of storm waves

J. Ortega; George H. Smith

doi:10.1016/j.apor.2009.09.003

Hilbert-Huang transform analysis of storm waves

J. Ortega, George H. Smith

Research output: Contribution to journal › Article › peer-review

22 Scopus citations

Abstract

We use the Hilbert-Huang transform (HHT) for the spectral analysis of a North Sea storm that took place in 1997. We look at the contribution of the different Intrinsic Mode Functions (IMF) obtained using the Empirical Mode Decomposition algorithm, and also compare the Hilbert Marginal Spectra and the classical Fourier Spectra for the data set and the corresponding IMFs. We find that the number of IMFs needed to decompose the data and the energy associated to them is different from previous studies for different sea conditions by other authors. A tentative reason for this may lie in the difference in the sampling rate used. © 2009 Elsevier Ltd.

Original language	English (US)
Journal	Applied Ocean Research
Volume	31
Issue number	3
DOIs	https://doi.org/10.1016/j.apor.2009.09.003
State	Published - Jul 1 2009
Externally published	Yes

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10.1016/j.apor.2009.09.003

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title = "Hilbert-Huang transform analysis of storm waves",

abstract = "We use the Hilbert-Huang transform (HHT) for the spectral analysis of a North Sea storm that took place in 1997. We look at the contribution of the different Intrinsic Mode Functions (IMF) obtained using the Empirical Mode Decomposition algorithm, and also compare the Hilbert Marginal Spectra and the classical Fourier Spectra for the data set and the corresponding IMFs. We find that the number of IMFs needed to decompose the data and the energy associated to them is different from previous studies for different sea conditions by other authors. A tentative reason for this may lie in the difference in the sampling rate used. {\textcopyright} 2009 Elsevier Ltd.",

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AB - We use the Hilbert-Huang transform (HHT) for the spectral analysis of a North Sea storm that took place in 1997. We look at the contribution of the different Intrinsic Mode Functions (IMF) obtained using the Empirical Mode Decomposition algorithm, and also compare the Hilbert Marginal Spectra and the classical Fourier Spectra for the data set and the corresponding IMFs. We find that the number of IMFs needed to decompose the data and the energy associated to them is different from previous studies for different sea conditions by other authors. A tentative reason for this may lie in the difference in the sampling rate used. © 2009 Elsevier Ltd.

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VL - 31

JO - Applied Ocean Research

JF - Applied Ocean Research

IS - 3

ER -

Hilbert-Huang transform analysis of storm waves

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