Title :
A neural analog-to-digital converter with resolution enhancement
Author :
Comisky, D.A. ; Drake, J.M. ; Dempsey, G.L.
Author_Institution :
Dept. of Electr. & Comput. Eng. Technol., Bradley Univ., Peoria, IL, USA
fDate :
31 Oct-2 Nov 1994
Abstract :
A neural-based analog-to-digital (A/D) converter was first proposed by Tank and Hopfield in 1986. Hopfield applications have typically used high-gain amplifiers for the neurons. Unfortunately, this led to missing output codes and unequal step widths in the A/D converter application. The new approach proposed here use low-gain analog amplifiers for the artificial neurons. This allows additional bits of information to be extracted from the A/D converter output. In this paper, we discuss the hardware implementation of our resolution enhancement method applied to a four-bit neural A/D converter. The method yielded an increase in resolution from 4 to 8 bits
Keywords :
Hopfield neural nets; VLSI; analogue integrated circuits; analogue-digital conversion; neural chips; 4 bit; 8 bit; A/D converter application; VLSI; artificial neurons; hardware implementation; high-gain amplifiers; low-gain analog amplifiers; microcontroller; neural A/D converter; neural analog-to-digital converter; resolution enhancement method; Analog-digital conversion; Application software; Biological information theory; Circuits; Data mining; Hardware; Logic; Neurons; Operational amplifiers; Voltage;
Conference_Titel :
Signals, Systems and Computers, 1994. 1994 Conference Record of the Twenty-Eighth Asilomar Conference on
Conference_Location :
Pacific Grove, CA
Print_ISBN :
0-8186-6405-3
DOI :
10.1109/ACSSC.1994.471460
