• DocumentCode
    2540853
  • Title

    Overlapping issues in designing large CNNs

  • Author

    Kananen, Asko ; Paasio, Ari ; Halonen, Kari

  • Author_Institution
    Electron. Circuit Design Lab., Helsinki Univ. of Technol., Espoo, Finland
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    321
  • Lastpage
    325
  • Abstract
    In this paper some problems in designing large gray-scale cellular nonlinear network silicon implementations are discussed. These problems affect both the processing speed of the network and the silicon area needed for the network. The problems presented are solved by reducing the number of cell-rows. The difference between the method given here and the previously presented solutions is the simultaneous evaluation of the output while still writing in the remaining input data. This method leads to a problem of a required overlapping in a frame. Both the system level description of the “transient rolling” and simulation results of the overlapping problem are given in this paper
  • Keywords
    cellular neural nets; image processing; neural net architecture; cell-rows; cellular nonlinear network; gray-scale images; image filter; overlapping; processing speed; transient rolling; Capacitance; Cellular networks; Cellular neural networks; Clocks; Computational modeling; Electronic circuits; Gray-scale; Image storage; Intelligent networks; Laboratories;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cellular Neural Networks and Their Applications, 2000. (CNNA 2000). Proceedings of the 2000 6th IEEE International Workshop on
  • Conference_Location
    Catania
  • Print_ISBN
    0-7803-6344-2
  • Type

    conf

  • DOI
    10.1109/CNNA.2000.877349
  • Filename
    877349