[article] 
inJournal of engineering mechanics > Vol. 133 N°7 (Juillet 2007) . - pp.849–852.

Titre :	Performance of wavelet transform and empirical mode decomposition in extracting signals embedded in noise
Type de document :	texte imprimé
Auteurs :	T. Kijewski-Correa, Auteur ; Ahsan Kareem, Auteur
Année de publication :	2007
Article en page(s) :	pp.849–852.
Note générale :	Applied mechanics
Langues :	Anglais (eng)
Mots-clés :	Spectral analysis Stationary processes, Time series Frequency Transformations Noise Transient loads response
Résumé :	Time-frequency transformations have gained increasing attention for the characterization of nonstationary signals in a broad spectrum of science and engineering applications. This study evaluates the performance of two popular transformations, the continuous wavelet transform and empirical mode decomposition with Hilbert transform (EMD+HT) , in estimating instantaneous frequency (IF) in the presence of noise. The findings demonstrate that under these conditions wavelets seeking harmonic similitude at various scales produce lower variance IF estimates than EMD+HT . The shortcomings of the latter approach are attributed to its empirical, envelope-dependent nature, leading to bases that are themselves derived from noise.
ISSN :	0733-9399
En ligne :	http://ascelibrary.org/doi/abs/10.1061/%28ASCE%290733-9399%282007%29133%3A7%2884 [...]

[article] Performance of wavelet transform and empirical mode decomposition in extracting signals embedded in noise [texte imprimé] / T. Kijewski-Correa, Auteur ; Ahsan Kareem, Auteur . - 2007 . - pp.849–852.
Applied mechanics
Langues : Anglais (eng)
in Journal of engineering mechanics > Vol. 133 N°7 (Juillet 2007) . - pp.849–852.

Mots-clés :	Spectral analysis Stationary processes, Time series Frequency Transformations Noise Transient loads response
Résumé :	Time-frequency transformations have gained increasing attention for the characterization of nonstationary signals in a broad spectrum of science and engineering applications. This study evaluates the performance of two popular transformations, the continuous wavelet transform and empirical mode decomposition with Hilbert transform (EMD+HT) , in estimating instantaneous frequency (IF) in the presence of noise. The findings demonstrate that under these conditions wavelets seeking harmonic similitude at various scales produce lower variance IF estimates than EMD+HT . The shortcomings of the latter approach are attributed to its empirical, envelope-dependent nature, leading to bases that are themselves derived from noise.
ISSN :	0733-9399
En ligne :	http://ascelibrary.org/doi/abs/10.1061/%28ASCE%290733-9399%282007%29133%3A7%2884 [...]