• DocumentCode
    1949432
  • Title

    A Novel Approach to Blind Source Extraction Based on Skewness

  • Author

    Shi, Qingyan ; Wu, Renbiao ; Wang, Shuyan

  • Author_Institution
    Key Lab for Radar Signal Process., Xidian Univ., Xi´´an
  • Volume
    4
  • fYear
    2006
  • fDate
    16-20 2006
  • Abstract
    Blind signal extraction (BSE) is an efficient way to recover the source signals from the observed signals. In this paper, a new adaptive algorithm of blind signal extraction based on the skewness was introduced for the signals whose probability distribution is not symmetric. The algorithm cooperated with the deflation procedure realizes the extraction of source signals one bye one. Only third-order statistics are used in the novel algorithm, so it can reduce the computational burden effectively. Computer simulations confirm the validity and performance of the algorithm
  • Keywords
    blind source separation; higher order statistics; blind source extraction; probability distribution; skewness; source signals; third-order statistics; Brain modeling; Computational modeling; Cost function; Gaussian noise; Noise robustness; Radar signal processing; Signal processing; Signal processing algorithms; Source separation; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing, 2006 8th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    0-7803-9736-3
  • Electronic_ISBN
    0-7803-9736-3
  • Type

    conf

  • DOI
    10.1109/ICOSP.2006.346114
  • Filename
    4129806