• DocumentCode
    291148
  • Title

    Two novel architectures for the self adaptive separation of signals

  • Author

    Moreau, Eric ; Macchi, Odilc

  • Author_Institution
    Lab. des Signaux et Syst., CNRS-ESE, Gif sur Yvette, France
  • Volume
    2
  • fYear
    1993
  • fDate
    23-26 May 1993
  • Firstpage
    1154
  • Abstract
    It is known that self-adaptive separation of a linear mixture of non-Gaussian independent signals can be achieved with a feedback structure that is adapted by the Jutten-Herault algorithm. Two novel architectures are presented. The first one is direct (no feedback). The second one is a mixed architecture, where a feedback structure is cascaded after a direct structure. Equlibrium points and their stability conditions are investigated for two mixed signals. The direct architecture is more general than the feedback one in that it involves no implementation constraints. It converges faster when there is an even number of minus signs in the mixture matrix. The mixed architecture´s transient period is hardly dependent on the mixture matrix. Computer simulations corroborate the theory
  • Keywords
    adaptive equalisers; cascade systems; convergence; feedback; separation; stability criteria; Jutten-Herault algorithm; convergence; direct structure; equilibrium points; feedback structure; mixed architecture; mixture matrix; non-Gaussian independent signals; self adaptive separation of signals; stability conditions; transient period; Computational efficiency; Computer architecture; Ear; Neural networks; Neurofeedback; Random processes; Receiving antennas; Sampling methods; Stability; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, 1993. ICC '93 Geneva. Technical Program, Conference Record, IEEE International Conference on
  • Conference_Location
    Geneva
  • Print_ISBN
    0-7803-0950-2
  • Type

    conf

  • DOI
    10.1109/ICC.1993.397458
  • Filename
    397458