Abstract
Several neural-based analogue-digital convertors (ADCs) have been proposed in the technical literature since Hopfield's contribution. The paper focuses on feedforward neural schemes. A review of three synthesis techniques for deriving a feedforward neural ADC is presented. The relationship between the resulting architectures and their conventional counterpart is examined. Finally, a comparison is made of the different neural schemes from an architectural viewpoint.
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