DocumentCode
349136
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
Volume
1
fYear
1998
fDate
1998
Firstpage
191
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Electronics, Circuits and Systems, 1998 IEEE International Conference on
Conference_Location
Lisboa
Print_ISBN
0-7803-5008-1
Type
conf
DOI
10.1109/ICECS.1998.813300
Filename
813300
Link To Document