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 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.