DocumentCode
2632204
Title
A novel compact architecture for a programmable full-range CNN in 0.5 μm CMOS technology
Author
Hegt, J.A. ; Leenaerts, D.M.W. ; Wilmans, R.T.
Author_Institution
Dept. of Electr. Eng., Eindhoven Univ. of Technol., Netherlands
fYear
1998
fDate
14-17 Apr 1998
Firstpage
288
Lastpage
293
Abstract
Describes an analogue hardware implementation of a programmable full-range CNN. The used technology is the MIETEC 0.5 μm CMOS process. The most important building blocks in each cell are its multipliers and an integrator with a hard-limited output. For the multipliers it is shown that the application of 2-quadrant types suffices, without loss of generality of the resulting network. As the number of multipliers per cell can be quite large, this means an important reduction of the circuit complexity. The integrator is implemented as a single capacitor. Hard-limiting is incorporated by a small clamper circuit. The resulting low-power and low-voltage circuit stands out for its low number of components and dense implementation. Its usefulness is illustrated with simulation results of this CNN used as a connected component detector
Keywords
CMOS analogue integrated circuits; analogue processing circuits; neural chips; neural net architecture; 0.5 mum; MIETEC 0.5 μm CMOS process; clamper circuit; compact architecture; connected component detector; hard-limited output; integrator; low-power low-voltage circuit; multipliers; programmable full-range CNN; Bismuth; CMOS process; CMOS technology; Capacitors; Cellular neural networks; Circuit simulation; Detectors; Electronic mail; Hardware; Piecewise linear techniques;
fLanguage
English
Publisher
ieee
Conference_Titel
Cellular Neural Networks and Their Applications Proceedings, 1998 Fifth IEEE International Workshop on
Conference_Location
London
Print_ISBN
0-7803-4867-2
Type
conf
DOI
10.1109/CNNA.1998.685389
Filename
685389
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