A highly efficient Cellular Neural Network (CNN) basic cell circuit containing only one finite gain amplifier is presented. Along with minimization of the layout space used, this cell circuit offers a unique possibility to control (decrease) a network time-constant by changing (increasing) the amplifiers gain only. A full-custom CMOS VLSI realization of this circuit is systematically explained. Based on this cell, a general-purpose CMOS VLSI CNN chip is then realized in 2 μm scaleable CMOS technology on the MOSIS Tiny Frame chip. The presented architecture was compared with the known CNN's for some image-processing applications
Published in:
Microelectronics, 1995. Proceedings., 1995 20th International Conference on
(Volume:2
)
Date of Conference: 12-14 Sep 1995