Optical A/D conversion using asymmetrical-neural-networks

Coded data generation or conversion – Analog to or from digital conversion – Using optical device

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341155, H03M 122

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active

052648494

ABSTRACT:
An analog signal having a value A is converted into an n-bit digital signal. An optical calculation part performs a part of a calculation shown below for an A/D conversion as below.

REFERENCES:
patent: 3641564 (1972-02-01), Fassett et al.
patent: 4374384 (1983-02-01), Moates
patent: 4851840 (1989-07-01), McAulay
"An Optical Analog-Digital Converter-Design and Analysis", IEEE Journal of Quantum Electronics, vol. QE-15, No. 4, Apr. 1987, Henry F. Taylor. pp. 210-216.
"2-Bit GSample/S Electooptic Guided-Wave Analog-to-Digital Converter", IEEE Journal of Quantum Electronics, vol. QE-18, No. 10, Oct. 1982, R. A. Becker and Frederick J Leonberger, pp. 1411-1413.
"Simple `Neural` Optimization Network: An A/D Converter, Signal Decision Circuit, and a Linear Programming Circuit", IEEE Transaction on Circuits and Systems, vol. 33, No. 5, May 1986, David Tank and John J. Hopfield, pp. 533-541.
"Analysis of Correct Action Neural Network", NC89-27(1989)49 of IEICE Technical Report, Koji Nakajima, et al. pp. 49-54.
"Implementation of a Class of Asymmetrical Neural Networks with Application to A-D Converter", Feb. 1992, pp. 103-111, No. 2, vol. J75-C-II, Transaction of IEICE. Shigeo Sato, et al.

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