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. >
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