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Proceedings of 1994 28th Asilomar Conference on Signals, Systems and Computers (1994)
Pacific Grove, CA, USA
Oct. 31, 1994 to Nov. 2, 1994
ISSN: 1058-6393
ISBN: 0-8186-6405-3
pp: 278-282
D.A. Comisky , Dept. of Electr. & Comput. Eng. Technol., Bradley Univ., Peoria, IL, USA
J.M. Drake , Dept. of Electr. & Comput. Eng. Technol., Bradley Univ., Peoria, IL, USA
G.L. Dempsey , Dept. of Electr. & Comput. Eng. Technol., Bradley Univ., Peoria, IL, USA
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.<>
INDEX TERMS
analogue-digital conversion, analogue integrated circuits, neural chips, VLSI, Hopfield neural nets
CITATION

D. Comisky, J. Drake and G. Dempsey, "A neural analog-to-digital converter with resolution enhancement," Proceedings of 1994 28th Asilomar Conference on Signals, Systems and Computers(ACSSC), Pacific Grove, CA, USA, 1995, pp. 278-282.
doi:10.1109/ACSSC.1994.471460
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