Norden E. Huang

The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis

International audience

ENSEMBLE EMPIRICAL MODE DECOMPOSITION: A NOISE-ASSISTED DATA ANALYSIS METHOD

A new Ensemble Empirical Mode Decomposition (EEMD) is presented. This new approach consists of sifting an ensemble of white noise-added signal (data) and treats the mean as the ...

A NEW VIEW OF NONLINEAR WATER WAVES: The Hilbert Spectrum

▪ Abstract We survey the newly developed Hilbert spectral analysis method and its applications to Stokes waves, nonlinear wave evolution processes, the spectral form of the rand...

A study of the characteristics of white noise using the empirical mode decomposition method

Based on numerical experiments on white noise using the empirical mode decomposition (EMD) method, we find empirically that the EMD is effectively a dyadic filter, the intrinsic...

Hilbert-Huang Transform and Its Applications

The Hilbert-Huang Transform in Engineering

Introduction to Hilbert-Huang Transform and Some Recent Developments Norden E. Huang Carrier and Riding Wave Structure of Rogue Waves Torsten Schlurmann and Marcus Datig Applica...

A confidence limit for the empirical mode decomposition and Hilbert spectral analysis

The confidence limit is a standard measure of the accuracy of the result in any statistical analysis. Most of the confidence limits are derived as follows. The data are first di...