A neural-like feed-forward ADC
Y. Chigusa, Mamoru Tanaka · 2002
A fast, accurate, and compact neural-like feedforward analog-to-digital converter (ADC) with binary weighted synapses and sigmoidal neurons is presented. Since the feedforward ADC has no feedback lines which make the acquisition time of the system indefinite, the conversion time is finite like finite-impulse-response (FIR) filters. Therefore there is no implicit hysteresis in the feedforward ADC. The characteristics of the ADC are described. A prototype 8-bit feedforward ADC using analog parallel processing shows no errors and has a conversion rate of over 5 MHz.>