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A fully connected, distributed mesh feedback approach to photonic A/D conversion
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 an...
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Main Authors: | , , , |
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Format: | Conference Proceeding |
Language: | English |
Subjects: | |
Online Access: | Request full text |
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Summary: | 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. |
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DOI: | 10.1109/CLEO.2000.907293 |