• DocumentCode
    773496
  • Title

    Linear adaptive decorrelator for signal separation

  • Author

    Canagarajah, C.N. ; Rayner, P.J.W.

  • Author_Institution
    Centre for Commun. Res., Bristol Univ., UK
  • Volume
    142
  • Issue
    5
  • fYear
    1995
  • fDate
    10/1/1995 12:00:00 AM
  • Firstpage
    327
  • Lastpage
    332
  • Abstract
    Signal separation is a problem often encountered in many practical applications. A novel technique is described that can guarantee signal separation by output decorrelation. In particular, it is shown that a simple transformation of the variables enables the nonlinear set of equations to be solved efficiently using the standard least squares technique. Moreover, the uniqueness of the solution is analytically determined and the system is shown to guarantee separation. The algorithm is modified to estimate the parameters adaptively, and the results clearly show the improved performance of this algorithm in separating two signals
  • Keywords
    adaptive estimation; adaptive signal processing; correlation theory; least squares approximations; parameter estimation; linear adaptive decorrelator; output decorrelation; parameter estimation; signal separation; standard least squares technique;
  • fLanguage
    English
  • Journal_Title
    Vision, Image and Signal Processing, IEE Proceedings -
  • Publisher
    iet
  • ISSN
    1350-245X
  • Type

    jour

  • DOI
    10.1049/ip-vis:19952026
  • Filename
    487793