Multiple-input OTA based circuit for cellular neural network-implementation in VLSI CMOS technology

Author

Kacprzak, Tomasz ; Slot, Krzysztof

Author_Institution

Inst. of Electron., Tech. Univ. of Lodz, Poland

fYear

1992

Firstpage

157

Lastpage

162

Abstract

An operational transconductance amplifier with multiple inputs, each of them realized by means of two MOSFETs only, suitable for implementation of cellular neural networks in CMOS technology is described. Preliminary analysis of a short-channel circuit augmented by SPICE simulation is given. Results show the potential for designing chip area effective networks applicable to various tasks of image processing and pattern recognition in real time. Additional research, in particular in the area of VLSI implementation, is needed

Keywords

CMOS integrated circuits; VLSI; analogue processing circuits; cellular arrays; image recognition; linear integrated circuits; neural chips; operational amplifiers; MOSFETs; SPICE simulation; VLSI CMOS technology; cellular neural network; chip area effective networks; image processing; multiple-input OTA based circuit; operational transconductance amplifier; pattern recognition; short-channel circuit; Analytical models; CMOS technology; Cellular neural networks; Circuit simulation; Image processing; MOSFETs; Operational amplifiers; Pattern recognition; SPICE; Transconductance;

fLanguage

English

Publisher

ieee

Conference_Titel

Cellular Neural Networks and their Applications, 1992. CNNA-92 Proceedings., Second International Workshop on

Conference_Location

Munich

Print_ISBN

0-7803-0875-1

Type

conf

DOI

10.1109/CNNA.1992.274375

Filename

274375