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A fully connected, distributed mesh feedback approach to photonic A/D conversion

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4 Author(s)
Shoop, B.L. ; Dept. of Electr. Eng. & Comput. Sci., US Mil. Acad., West Point, NY, USA ; Das, P.K. ; Talty, T.J. ; Ressler, E.K.

Summary form only given.A novel approach to photonic A/D conversion using a distributed neural network, oversampling techniques, and a smart pixel hardware implementation is described. In this approach, the input signal is first sampled at a rate higher than that required by the Nyquist criterion and then presented spatially as the input to a two-dimensional error diffusion neural network consisting of X/spl times/Y neurons, each representing a pixel in the image space. We believe we have demonstrated the first dynamic operation of a 5 x 5 CMOS-SEED smart pixel implementation of the error diffusion neural network demonstrating the applicability of this new approach to high resolution photonic A/D conversion.

Published in:

Lasers and Electro-Optics, 2000. (CLEO 2000). Conference on

Date of Conference:

7-12 May 2000