• DocumentCode
    296087
  • Title

    Pulse coded cellular neural network and it´s hardware implementation

  • Author

    Pham, Gong-Kha ; Kimura, Tetsuya ; Ikegarni, M. ; Tanaka, Mamoru

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Sophia Univ., Tokyo, Japan
  • Volume
    4
  • fYear
    1995
  • fDate
    Nov/Dec 1995
  • Firstpage
    1590
  • Abstract
    This paper describes a pulse coded cellular neural network employing a pulse-stream arithmetic. A behavior of the network has been demonstrated employing a simulation program for a halftoning of a grey-level image as an example. Also, a hardware implementation for the network is proposed. As a result, the proposed pulse coded cellular neural networks has the same operation which can be observed from an analog cellular neural networks
  • Keywords
    cellular neural nets; image processing; analog cellular neural networks; grey-level image halftoning; pulse-coded cellular neural network; pulse-stream arithmetic; simulation program; Biological neural networks; Cellular neural networks; Digital arithmetic; Electronic mail; Fires; Nervous system; Neural network hardware; Neurons; Piecewise linear techniques; Very large scale integration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 1995. Proceedings., IEEE International Conference on
  • Conference_Location
    Perth, WA
  • Print_ISBN
    0-7803-2768-3
  • Type

    conf

  • DOI
    10.1109/ICNN.1995.488855
  • Filename
    488855