• DocumentCode
    3103178
  • Title

    Separation of sinusoidal sources

  • Author

    Serviere, C. ; Capdevielle, V. ; Lacoume, J.-L.

  • Author_Institution
    CEPHAG ENSIEG, Saint Martin d´´Heres, France
  • fYear
    1997
  • fDate
    21-23 Jul 1997
  • Firstpage
    344
  • Lastpage
    348
  • Abstract
    A particular source separation problem is addressed in this paper. We mainly focus on the separation of convolutive mixtures of rotating machine noises when the rotation speeds are close. Three specific points are developed. In the first point, we study the feasibility of the separation of periodic signals, regarding the hypothesis of random and non gaussian sources. We also discuss about the hypothesis of independence between the sources, as a function of the rotation speeds. In the second point, we analyze the performances of the source separation for close rotation speeds. They are linked to a partial correlation between the machine noises. Then, we propose a new method for very close rotation speeds, which takes into account this partial dependence between the sources
  • Keywords
    acoustic convolution; acoustic correlation; acoustic noise; random noise; spectral analysis; convolutive mixtures; nongaussian sources; partial correlation; partial dependence; periodic signals; random sources; rotating machine noise; rotation speeds; sinusoidal sources; source separation problem; Adaptive filters; Discrete Fourier transforms; Higher order statistics; Linearity; Matrix decomposition; Performance analysis; Rotating machines; Sensor phenomena and characterization; Source separation; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Higher-Order Statistics, 1997., Proceedings of the IEEE Signal Processing Workshop on
  • Conference_Location
    Banff, Alta.
  • Print_ISBN
    0-8186-8005-9
  • Type

    conf

  • DOI
    10.1109/HOST.1997.613544
  • Filename
    613544