• DocumentCode
    1587984
  • Title

    An analysis of CNN settling time

  • Author

    Hänggi, Martin ; Moschytz, George S.

  • Author_Institution
    Signal & Inf. Process. Lab., Fed. Inst. of Technol., Zurich, Switzerland
  • Volume
    3
  • fYear
    1998
  • Firstpage
    155
  • Abstract
    The settling time of cellular neural networks (CNNs) is crucial for both simulation and applications of VLSI CNN chips. The computational effort for the numerical integration may be drastically reduced, and CNN programs can be optimized, if a priori knowledge on the settling time is available. Moreover, this allows the parameters necessary to achieve higher processing speed to be tuned. For certain template classes, we present analytic solutions, while for others, tight upper bounds are given
  • Keywords
    VLSI; cellular neural nets; neural chips; CNN; VLSI; a priori knowledge; cellular neural networks; numerical integration; processing speed; settling time; template classes; tight upper bounds; Cellular neural networks; Computational modeling; Differential equations; Information processing; Laboratories; Piecewise linear techniques; Signal processing; Upper bound; Very large scale integration; Web sites;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 1998. ISCAS '98. Proceedings of the 1998 IEEE International Symposium on
  • Conference_Location
    Monterey, CA
  • Print_ISBN
    0-7803-4455-3
  • Type

    conf

  • DOI
    10.1109/ISCAS.1998.703934
  • Filename
    703934