• DocumentCode
    2632204
  • Title

    A novel compact architecture for a programmable full-range CNN in 0.5 μm CMOS technology

  • Author

    Hegt, J.A. ; Leenaerts, D.M.W. ; Wilmans, R.T.

  • Author_Institution
    Dept. of Electr. Eng., Eindhoven Univ. of Technol., Netherlands
  • fYear
    1998
  • fDate
    14-17 Apr 1998
  • Firstpage
    288
  • Lastpage
    293
  • Abstract
    Describes an analogue hardware implementation of a programmable full-range CNN. The used technology is the MIETEC 0.5 μm CMOS process. The most important building blocks in each cell are its multipliers and an integrator with a hard-limited output. For the multipliers it is shown that the application of 2-quadrant types suffices, without loss of generality of the resulting network. As the number of multipliers per cell can be quite large, this means an important reduction of the circuit complexity. The integrator is implemented as a single capacitor. Hard-limiting is incorporated by a small clamper circuit. The resulting low-power and low-voltage circuit stands out for its low number of components and dense implementation. Its usefulness is illustrated with simulation results of this CNN used as a connected component detector
  • Keywords
    CMOS analogue integrated circuits; analogue processing circuits; neural chips; neural net architecture; 0.5 mum; MIETEC 0.5 μm CMOS process; clamper circuit; compact architecture; connected component detector; hard-limited output; integrator; low-power low-voltage circuit; multipliers; programmable full-range CNN; Bismuth; CMOS process; CMOS technology; Capacitors; Cellular neural networks; Circuit simulation; Detectors; Electronic mail; Hardware; Piecewise linear techniques;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cellular Neural Networks and Their Applications Proceedings, 1998 Fifth IEEE International Workshop on
  • Conference_Location
    London
  • Print_ISBN
    0-7803-4867-2
  • Type

    conf

  • DOI
    10.1109/CNNA.1998.685389
  • Filename
    685389