• DocumentCode
    542630
  • Title

    Source separation in strong noisy mixtures: A study of wavelet de-noising pre-processing

  • Author

    Paraschiv-Ionescu, Ani ; Jutten, C. ; Aminian, K. ; Najafi, B. ; Robert, Ph.

  • Author_Institution
    Swiss Federal Institute of Technology, Lausanne, Switzerland
  • Volume
    2
  • fYear
    2002
  • fDate
    13-17 May 2002
  • Abstract
    This paper addresses the source separation in strong noisy mixtures by using wavelet de-noising processing. Experiments include the cases of white/correlated Gaussian and non-Gaussian noise, which correspond to various applications. The performance of BSS/ICA algorithms after wavelet de-noising is quantitatively investigated, and points out the efficiency of the method.
  • Keywords
    Barium; Discrete wavelet transforms; Noise measurement; Robustness; Signal to noise ratio; Source separation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing (ICASSP), 2002 IEEE International Conference on
  • Conference_Location
    Orlando, FL, USA
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-7402-9
  • Type

    conf

  • DOI
    10.1109/ICASSP.2002.5744943
  • Filename
    5744943
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=542630