Title :
A 48 by 48 CNN chip operating with B/W images
Author :
Paasio, Ari ; Kananen, Asko ; Halonen, Kari ; Porra, Veikko
Author_Institution :
Electron. Circuit Design Lab., Helsinki Univ. of Technol., Espoo, Finland
Abstract :
A new very simple cellular neural network universal machine structure is presented. By using a high gain unipolar sigmoid as the cell output nonlinearity the coefficient building blocks can be integrated with high density. The new design reaches cell density about 10 times larger than the previous ones. A 48×48 cell grid has been fabricated using a 0.5 μm standard digital CMOS process. The cell structure is described and some system level measurement results are given
Keywords :
CMOS digital integrated circuits; VLSI; cellular neural nets; image sequences; neural chips; 0.5 micron; B/W images; CNN chip; cell density; cell output nonlinearity; coefficient building blocks; high gain unipolar sigmoid; standard digital CMOS process; system level measurement results; CMOS process; Cellular neural networks; Electronic circuits; Electronic mail; Integrated circuit technology; Laboratories; Level measurement; Programmable control; Testing; Very large scale integration;
Conference_Titel :
Electronics, Circuits and Systems, 1998 IEEE International Conference on
Conference_Location :
Lisboa
Print_ISBN :
0-7803-5008-1
DOI :
10.1109/ICECS.1998.813300
