• DocumentCode
    324394
  • Title

    A time-multiplexing simulator for cellular neural network

  • Author

    El-Shafei, A.A.H. ; Sobhy, M.I.

  • Author_Institution
    Electron. Eng. Labs., Kent Univ., Canterbury, UK
  • fYear
    1998
  • fDate
    14-17 Apr 1998
  • Firstpage
    224
  • Lastpage
    229
  • Abstract
    A cellular neural network (CNN) simulator and a time-multiplexing algorithm implementation are described. The model for the CNN cell is simulated by SIMULINKR but the multiplexing algorithm could be used with any other implementation. The CNN model was tested using several templates, and the test results using connected components detection (CCD) templates are given. This simulator provides a simple and user friendly environment for studying and analyzing CNN dynamics. The time-multiplexing algorithm is tested using the edge detection and CCD templates and the results are attached
  • Keywords
    cellular neural nets; digital simulation; dynamics; edge detection; time division multiplexing; SIMULINK; cellular neural network; connected components detection templates; dynamics; edge detection; model; time-multiplexing simulator; Analytical models; Buildings; Cellular neural networks; Charge coupled devices; Circuit simulation; Differential equations; Laboratories; Neural networks; Nonlinear equations; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cellular Neural Networks and Their Applications Proceedings, 1998 Fifth IEEE International Workshop on
  • Conference_Location
    London
  • Print_ISBN
    0-7803-4867-2
  • Type

    conf

  • DOI
    10.1109/CNNA.1998.685370
  • Filename
    685370