A Novel OTA For Implementing Programmable CNN

Author

Wang, Peng ; Zhang, Xun ; Jin, Dongming

Author_Institution

Inst. of Microelectron., Tsinghua Univ., Beijing

fYear

2006

fDate

23-26 Oct. 2006

Firstpage

2076

Lastpage

2078

Abstract

A novel OTA circuit used as four-quadrant analog-digital multiplier for implementing a programmable cellular neural network (CNN) is presented. The circuit, which can be fabricated in a standard CMOS process, performs the four-quadrant weighting of interconnect signals. Using this OTA a programmable CNN neuron can be implemented with little expense. Both simulation and test results are given for the circuit fabricated in a standard, mixed signal, 0.18mum, CMOS process

Keywords

CMOS integrated circuits; analogue-digital conversion; cellular neural nets; mixed analogue-digital integrated circuits; multiplying circuits; operational amplifiers; programmable circuits; 0.18 micron; four-quadrant analog-digital multiplier; interconnect signals; mixed signal CMOS process; operational transconductance amplifier; programmable CNN neuron; programmable cellular neural network; Artificial neural networks; CMOS process; Cellular neural networks; Circuit simulation; Circuit testing; MOSFETs; Mirrors; Neurons; Signal processing; Voltage;

fLanguage

English

Publisher

ieee

Conference_Titel

Solid-State and Integrated Circuit Technology, 2006. ICSICT '06. 8th International Conference on

Conference_Location

Shanghai

Print_ISBN

1-4244-0160-7

Electronic_ISBN

1-4244-0161-5

Type

conf

DOI

10.1109/ICSICT.2006.306621

Filename

4098630