• DocumentCode
    312580
  • Title

    VLSI implementation of cellular neural network universal machine

  • Author

    Paasio, Ari ; Dawidziuk, Adam ; Porra, Veikko

  • Author_Institution
    Electron. Circuit Design Lab., Helsinki Univ. of Technol., Espoo, Finland
  • Volume
    1
  • fYear
    1997
  • fDate
    9-12 Jun 1997
  • Firstpage
    545
  • Abstract
    In this paper a Cellular Neural Network Universal Machine structure is described. All the 19 coefficients in the 1-neighborhood can be controlled with six bit adjustability. The design has been processed with 0.8 micron CMOS technology. The cell dimensions are 114×118 μm2 including the global wiring. Both DC measurement and transient simulation results are reported in the paper
  • Keywords
    CMOS integrated circuits; VLSI; cellular neural nets; neural chips; 0.8 micron; CMOS technology; CNN universal machine; VLSI implementation; cellular neural network; six bit adjustability; CMOS technology; Cellular neural networks; Circuit testing; Electronic circuits; Process design; Sampling methods; Switches; Turing machines; Very large scale integration; Voltage control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 1997. ISCAS '97., Proceedings of 1997 IEEE International Symposium on
  • Print_ISBN
    0-7803-3583-X
  • Type

    conf

  • DOI
    10.1109/ISCAS.1997.608804
  • Filename
    608804
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=312580