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
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;
Conference_Titel :
Circuits and Systems, 2005. ISCAS 2005. IEEE International Symposium on
Print_ISBN :
0-7803-8834-8
DOI :
10.1109/ISCAS.2005.1465675
