Neural network analog-to-digital converter

Coded data generation or conversion – Analog to or from digital conversion – Analog to digital conversion

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341159, H03M 138, H03M 136

Patent

active

050686623

ABSTRACT:
An asynchronous, rapid, neural network analog-to-digital converter. This converter requires only two different resistance values in R2R resistor ladders, and does not require both positive and negative biases. An average of n/2 steps is required for an n-bit conversion.

REFERENCES:
patent: 3968486 (1976-07-01), Gerdes
patent: 4660166 (1987-04-01), Hopfield
patent: 4719591 (1988-01-01), Hopfield et al.
patent: 4737929 (1988-04-01), Denker
patent: 4926180 (1990-05-01), Anastassiou
patent: 4965579 (1990-10-01), Liu et al.
"Computing with Neural Circuits: A Model," J. Hopfield and D. Tank, Science, Aug. 1986, vol. 233, pp. 625-632.
"Simple `Neural` Optimization Networks: An A/D Converter, Signal Decision Circuit, and a Linear Programming Circuit," D. Tank and J. Hopfield, IEEE Transactions on Circuits and Systems, vol. CAS-33, No. 5, May 1986, pp. 533-541.
"An Investigation of Local Minima of Hopfield Network for Optimization Circuits," Lee and Sheu, IEEE International Conference on Neural Networks, pp. I-45-51 (Jul. 1988).

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