| Titre : | Performance of wavelet transform and empirical mode decomposition in extracting signals embedded in noise (2007) |
| Auteurs : | T. Kijewski-Correa, Auteur ; Ahsan Kareem, Auteur |
| Type de document : | Article : texte imprimé |
| Dans : | Journal of engineering mechanics (Vol. 133 N°7, Juillet 2007) |
| Article en page(s) : | pp.849–852. |
| Note générale : | Applied mechanics |
| Langues : | Anglais |
| Tags : | 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%28849%29 |
