• DocumentCode
    3404939
  • 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
  • fYear
    2008
  • fDate
    March 31 2008-April 4 2008
  • Firstpage
    333
  • Lastpage
    336
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on
  • Conference_Location
    Las Vegas, NV
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4244-1483-3
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2008.4517614
  • Filename
    4517614