• DocumentCode
    2535004
  • Title

    Structure reconfigurability of the CNNUC3 for robust template operation

  • Author

    Földesy, E. ; Linán, G. ; Rodriguez-Vázquez, A. ; Espejo, S. ; Domínguez-Castro, R.

  • Author_Institution
    Inst. de Microelectron., CSIC, Sevilla, Spain
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    289
  • Lastpage
    293
  • Abstract
    We demonstrate the importance of the reconfigurability of a 64×64 cells size CNN-UM chip. As we show, in such a high complexity mixed-signal VLSI circuit the switch and internal reference level reconfigurability and reprogrammability play a crucial role for the robust operation of the system. The methodology for exploring the possibilities is three-fold, we consider theoretical results, error compensation methods, and the usage of special features of the design
  • Keywords
    VLSI; cellular neural nets; image processing; mixed analogue-digital integrated circuits; neural chips; CNN-UM chip; CNNUC3; error compensation methods; high complexity mixed-signal VLSI circuit; reprogrammability; robust operation; robust template operation; structure reconfigurability; Cellular neural networks; Circuits; Concurrent computing; Equations; Gray-scale; Image processing; Pixel; Prototypes; Robustness; Switches;
  • 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.2000.876860
  • Filename
    876860