• DocumentCode
    701138
  • Title

    Wideband blind identification and separation of independent sources

  • Author

    Jun, Wang

  • Author_Institution
    DSP Division, Department of Radio Engineering, Southeast University, Nanjing 210096, P.R. China
  • fYear
    1996
  • fDate
    10-13 Sept. 1996
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    During recent years, there have been much interests focused on blind identification and blind source separation. Many approaches have been proposed mainly for the special and simple case in which the MIMO system is linear memoryless[1][2][4][5]. However, in a variety of applications in which wideband sources are involved, e.g., speech dereverberation, speech enchancement in the presence of background noise and competing speakers separation, these approaches can not be applied. Several solutions have been presented for the two-source two-sensor wideband problem with two channels assumed identity systems[6-8].
  • Keywords
    Finite impulse response filters; Fourier transforms; Sensors; Source separation; Speech; Wideband;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    European Signal Processing Conference, 1996. EUSIPCO 1996. 8th
  • Conference_Location
    Trieste, Italy
  • Print_ISBN
    978-888-6179-83-6
  • Type

    conf

  • Filename
    7082863