• DocumentCode
    3547465
  • Title

    On complete stability of three-cell CNNs with opposite-sign templates

  • Author

    Takahashi, Norikazu ; Nishi, Tetsuo

  • Author_Institution
    Dept. of Comput. Sci. & Commun. Eng., Kyushu Univ., Fukuoka, Japan
  • fYear
    2005
  • fDate
    23-26 May 2005
  • Firstpage
    4673
  • Abstract
    A new sufficient condition for three-cell cellular neural networks (CNN) with the opposite-sign template to be completely stable is presented in this paper. It is also shown that even though the self-coupling is greater than unity the state trajectory which never enters a total saturation region can exist.
  • Keywords
    cellular neural nets; stability; complete stability; opposite-sign templates; self-coupling; state trajectory; three-cell CNN; three-cell cellular neural networks; total saturation region; Cellular neural networks; Computer science; Detectors; Equations; Image processing; Stability analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 2005. ISCAS 2005. IEEE International Symposium on
  • Print_ISBN
    0-7803-8834-8
  • Type

    conf

  • DOI
    10.1109/ISCAS.2005.1465675
  • Filename
    1465675