• DocumentCode
    3264065
  • Title

    Adaptive Blind Source Seperation Using Temporal Predictability

  • Author

    Tao, Huan ; Zhang, Jian-Yun ; Yu, Lin

  • Author_Institution
    Dept. of Inf. Eng., Electron. Eng. Inst., Hefei
  • Volume
    1
  • fYear
    2006
  • fDate
    25-28 June 2006
  • Firstpage
    280
  • Lastpage
    283
  • Abstract
    An adaptive blind source separation method is proposed in the paper. The method uses the temporal predictability as cost function which is not studied as much as other generic differences between the properties of signals and their mixtures. After adaptive pre-whitening the signal, step-adaptation on-line nature gradient algorithm is proposed to separate signals, which is robust and more effective. Simulations show a good separation performance of the algorithm is achieved with low signal to noise ratio
  • Keywords
    blind source separation; gradient methods; adaptive blind source separation; cost function; signal prewhitening; step-adaptation on-line nature gradient algorithm; temporal predictability; Array signal processing; Biomedical signal processing; Blind source separation; Cost function; Covariance matrix; Noise robustness; Probability density function; Signal processing algorithms; Signal to noise ratio; Source separation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, Circuits and Systems Proceedings, 2006 International Conference on
  • Conference_Location
    Guilin
  • Print_ISBN
    0-7803-9584-0
  • Electronic_ISBN
    0-7803-9585-9
  • Type

    conf

  • DOI
    10.1109/ICCCAS.2006.284635
  • Filename
    4063879