International audienceIn this paper we present an extended version of Hilbert-Huang transform, namely arbitrary-order Hilbert spectral analysis, to characterize the scale-invariant properties of a time series directly in an amplitude-frequency space. We first show numerically that due to a nonlinear distortion, traditional methods require high-order harmonic components to represent nonlinear processes, except for the Hilbert-based method. This will lead to an artificial energy flux from the low-frequency (large scale) to the high-frequency (small scale) part. Thus the power law, if it exists, is contaminated. We then compare the Hilbert method with structure functions (SF), detrended fluctuation analysis (DFA), and wavelet leader (WL) by an...
The Hilbert-Huang transform (HHT) is a new method for the analysis of nonstationary signals that all...
La décomposition modale empirique (Empirical Mode Decomposition – EMD) ou la Transformation de Hilbe...
International audienceAn analysis of the variability of the surface solar irradiance (SSI) at differ...
Empirical Mode Decomposition (EMD, or Hilbert-Huang Transform, HHT) was introduced by Norden E. Huan...
International audienceIn this paper, we propose an extended version of the Hilbert spectral analysis...
Hilbert-Huang transform is a method that has been introduced recently to decompose nonlinear, nonsta...
International audienceHilbert-Huang transform is a method that has been introduced recently to decom...
Investigating long-range correlation by the Hurst exponent, H, is crucial in the study of time serie...
A new method for analysing non-linear and non-stationary data has been developed. The key part of th...
International audienceIn previous work [Huang et al., PRE 82, 26319, 2010], we found that the passiv...
The Hilbert-Huang transform is applied to analyze single particle Lagrangian velocity data from nume...
The Hilbert-Huang transform is applied to analyze single-particle Lagrangian velocity data from nume...
We relate the second-order structure function of a time series with the power spectrum of the origin...
International audienceThe objectives are to study and model the aggregate wind power fluctuations dy...
The Hilbert-Huang-Transform (HHT) has proven to be an appropriate multiscale analy-sis technique spe...
The Hilbert-Huang transform (HHT) is a new method for the analysis of nonstationary signals that all...
La décomposition modale empirique (Empirical Mode Decomposition – EMD) ou la Transformation de Hilbe...
International audienceAn analysis of the variability of the surface solar irradiance (SSI) at differ...
Empirical Mode Decomposition (EMD, or Hilbert-Huang Transform, HHT) was introduced by Norden E. Huan...
International audienceIn this paper, we propose an extended version of the Hilbert spectral analysis...
Hilbert-Huang transform is a method that has been introduced recently to decompose nonlinear, nonsta...
International audienceHilbert-Huang transform is a method that has been introduced recently to decom...
Investigating long-range correlation by the Hurst exponent, H, is crucial in the study of time serie...
A new method for analysing non-linear and non-stationary data has been developed. The key part of th...
International audienceIn previous work [Huang et al., PRE 82, 26319, 2010], we found that the passiv...
The Hilbert-Huang transform is applied to analyze single particle Lagrangian velocity data from nume...
The Hilbert-Huang transform is applied to analyze single-particle Lagrangian velocity data from nume...
We relate the second-order structure function of a time series with the power spectrum of the origin...
International audienceThe objectives are to study and model the aggregate wind power fluctuations dy...
The Hilbert-Huang-Transform (HHT) has proven to be an appropriate multiscale analy-sis technique spe...
The Hilbert-Huang transform (HHT) is a new method for the analysis of nonstationary signals that all...
La décomposition modale empirique (Empirical Mode Decomposition – EMD) ou la Transformation de Hilbe...
International audienceAn analysis of the variability of the surface solar irradiance (SSI) at differ...