• DocumentCode
    1980642
  • Title

    Current mode cellular neural network with digitally adjustable template coefficients

  • Author

    Paasio, A. ; Halonen, K. ; Porra, V. ; Dawidziuk, A.

  • Author_Institution
    Electron. Circuit Design Lab., Helsinki Univ. of Technol., Espoo, Finland
  • fYear
    1994
  • fDate
    26-28 Sep 1994
  • Firstpage
    268
  • Lastpage
    272
  • Abstract
    A current mode implementation is presented for a cellular neural network (CNN) with digitally controllable coefficients. The controllability is achieved by applying proper bias voltages to cascode current mirrors. The test circuit is a 1×5 CNN fabricated in a 1.2 μm CMOS process. Measurement results are reported for connected component, shadow and holefiller templates
  • Keywords
    CMOS analogue integrated circuits; analogue processing circuits; cellular neural nets; neural chips; 1.2 micron; CMOS process; bias voltages; cascode current mirrors; cellular neural network; current mode implementation; digitally adjustable template coefficients; Cellular neural networks; Circuit simulation; Circuit testing; Current measurement; Electronic circuits; Inverters; Joining processes; Mirrors; Switches; Variable structure systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Microelectronics for Neural Networks and Fuzzy Systems, 1994., Proceedings of the Fourth International Conference on
  • Conference_Location
    Turin
  • Print_ISBN
    0-8186-6710-9
  • Type

    conf

  • DOI
    10.1109/ICMNN.1994.593719
  • Filename
    593719