Title :
Acoustic and turbulent wavenumbers separation in wall pressure array signals using EMD in spatial domain
Author :
Grulier, Vincent ; Debert, Sébastien ; Mars, Jérôme I. ; Pachebat, Marc
Author_Institution :
Dept. Images-Signal Rue de la Houille Blanche, GIPSA-Lab., St. Martin d´´Heres
fDate :
March 31 2008-April 4 2008
Abstract :
Empirical mode decomposition (EMD) is a powerful "time-frequency" tool that is used here in the spatial domain to filter out at each instant, short scale wall pressure fluctuations measured by a linear microphone array beneath a boundary layer. A frequency over streamwise wavenumber representation is used to separate acoustic and turbulent energy: it is obtained by a classical spatial-correlogram which is performed either on original signals or on spatial EMD-filtered signals. It is shown how spatial EMD filtering reduces the spread of the convective energy due to the truncation effects and is tuned to improve the separation of the acoustical energy out of the turbulent energy.
Keywords :
acoustic signal processing; array signal processing; boundary layer turbulence; filtering theory; time-frequency analysis; acoustic wavenumbers separation; boundar layer; linear microphone array; spatial domain; spatial empirical mode decomposition signal filtering; spatial-correlogram; streamwise wavenumber representation; time-frequency tool; turbulent wavenumbers separation; wall pressure array signals; Acoustic arrays; Acoustic measurements; Acoustic waves; Aerodynamics; Filtering; Filters; Fluctuations; Frequency; Linear antenna arrays; Microphone arrays; Acoustics; Spatial EMD; Turbulent boundary layer; Wavenumber filtering;
Conference_Titel :
Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4244-1483-3
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2008.4517614