• DocumentCode
    2766231
  • Title

    On the INFOMAX algorithm for blind signal separation

  • Author

    Xi, Jiangtao ; Chicharo, J.F. ; Tsoi, Ah Chung ; Siu, Wan-chi

  • Author_Institution
    Wollongong Univ., NSW, Australia
  • Volume
    1
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    425
  • Abstract
    This paper provides an analytical examination of the INFOMAX algorithm and establishes its effectiveness for blind signal separation using extensive simulation results. Results obtained show that the INFOMAX is not able to separate signal sources unless signal pre-processing is carried-out whereby the data to train the separating matrix is decorrelated. Further, results also show that if one uses the decorrelation pre-process alone it is able to effectively separate signal sources in many instances. Hence we conclude that the INFOMAX algorithm may not be a useful approach for signal separation
  • Keywords
    array signal processing; decorrelation; gradient methods; maximum entropy methods; statistical analysis; INFOMAX algorithm; blind signal separation; decorrelation; information-maximization approach; instantaneous mixing; sensor array; signal pre-processing; signal source separation; simulation results; Blind source separation; Decorrelation; Entropy; Jacobian matrices; MIMO; Neural networks; Sensor arrays; Signal analysis; Signal mapping; Source separation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Proceedings, 2000. WCCC-ICSP 2000. 5th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    0-7803-5747-7
  • Type

    conf

  • DOI
    10.1109/ICOSP.2000.894523
  • Filename
    894523