Padois, Thomas, Doutres, Olivier, Nelisse, Hugues et Sgard, Franck.
2019.
« Acoustic imaging using different weighting functions with the generalized cross correlation based on the generalized mean ».
In Proceedings of the 26th International Congress on Sound and Vibration (ICSV26) (Montreal, QC, Canada, July 07-11, 2019)
Canadian Acoustical Association.
Prévisualisation |
PDF
Doutres O 2019 19260.pdf - Version acceptée Licence d'utilisation : Tous les droits réservés aux détenteurs du droit d'auteur. Télécharger (3MB) | Prévisualisation |
Résumé
The generalized cross correlation (GCC) is a standard technique for estimating time delay between microphone signals. A prefiltering operation by a weighting function may be included to whiten the cross spectrum of the microphones signals. The expected result is a narrow cross correlation function and a more accurate estimation of the time delay. Among the classic weighting functions, the most known is the PHAse Transform (PHAT). The ability of the PHAT weighting function to whiten the cross spectrum of the microphone signals can be improved by adding an exponent or the minimum value of the coherence function to the denominator. Both approaches have shown promising results for time delay estimation. In this work, the aforementioned modifications of the PHAT weighting function are considered for performing acoustic imaging with the classic GCC and the GCC based on the geometric mean. Numerical and experimental measurements are carried out in the case of two acoustic sources in front of a regular microphones array.
Type de document: | Compte rendu de conférence |
---|---|
ISBN: | 978-1-9991810-0-0 |
Informations complémentaires: | Identifiant de l'article: 529 |
Professeur: | Professeur Doutres, Olivier |
Affiliation: | Génie mécanique |
Date de dépôt: | 13 août 2019 19:27 |
Dernière modification: | 16 août 2019 16:50 |
URI: | https://espace2.etsmtl.ca/id/eprint/19260 |
Actions (Authentification requise)
Dernière vérification avant le dépôt |