• DocumentCode
    298394
  • Title

    Separation of mixed signals in dynamic environments: formulation and some implementation

  • Author

    Gharbi, Ammar B A ; Salam, Fathi M A

  • Author_Institution
    Dept. of Electr. Eng., Michigan State Univ., East Lansing, MI, USA
  • Volume
    1
  • fYear
    1994
  • fDate
    3-5 Aug 1994
  • Firstpage
    587
  • Abstract
    We describe algorithms and some chip implementations for separating unknown, but independent, mixtures of temporal signals in static and dynamic environments. One algorithm is a modified HJ algorithm; the other is derived based on optimal control theory so as to maximize a functional which characterizes the linear independence of temporal signals. Moreover, we present some chip results and computer simulations and quantify the performance in static and dynamic environments
  • Keywords
    filtering theory; neural nets; signal detection; Herault-Jutten cells; computer simulations; dynamic environments; linear independence; mixed signal separation; modified HJ algorithm; optimal control theory; static environments; temporal signals; Artificial neural networks; Counting circuits; Filtering; Intelligent networks; Laboratories; Microphones; Neural networks; Optimal control; Testing; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 1994., Proceedings of the 37th Midwest Symposium on
  • Conference_Location
    Lafayette, LA
  • Print_ISBN
    0-7803-2428-5
  • Type

    conf

  • DOI
    10.1109/MWSCAS.1994.519306
  • Filename
    519306