Title :
High-precision Low-power Voltage Follower For Hardware Signal Processing
Author_Institution :
Technol. & Agric. Univ.
Abstract :
A specific application CMOS voltage follower is presented, which is well suited to be used as a component of VLSI analog electronics such as hardware implemented artificial neural networks (ANN´s) or switched-capacitor filters (SC-filters). The main advantages of the follower are: a very high precision of operation and low power consumption. Another advantage is a low input capacitance (about 2fF) and extremely high input resistance. Compared with general purpose followers, its disadvantage is a restricted range of input voltage variations. This is the price we pay for the achieved positive features. Apart from the general idea and some previous versions of the follower, a new circuit realization is presented. SPICE simulation results concerning layouts made for a 0.35mum CMOS process are shown. These results are in good agreement with theoretical predictions as well as experimental results achieved for a 0.8mum prototype. Prototypes designed for the 0.18mum technology are currently being fabricated (in cooperation with University of Alberta in Canada) and no measurements have been performed yet
Keywords :
CMOS analogue integrated circuits; VLSI; low-power electronics; neural nets; operational amplifiers; signal processing; switched capacitor filters; 0.18 micron; 0.35 micron; 0.8 micron; ANN; CMOS analog circuits; CMOS voltage follower; SC-filters; SPICE; University of Alberta; VLSI analog electronics; artificial neural networks; hardware signal processing; high-precision voltage follower; low-power electronics; low-power voltage follower; switched-capacitor filters; Artificial neural networks; Capacitance; Circuits; Energy consumption; Filters; Neural network hardware; Prototypes; Signal processing; Very large scale integration; Voltage;
Conference_Titel :
Mixed Design of Integrated Circuits and System, 2006. MIXDES 2006. Proceedings of the International Conference
Conference_Location :
Gdynia
Print_ISBN :
83-922632-2-7
DOI :
10.1109/MIXDES.2006.1706589