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In this paper, an approach to computing arbitrary Boolean functions using a continuous-state cellular neural/nonlinear/nanoscale network (CNN) architecture with local static memory is presented. We explain how any given Boolean function can be mapped to a CNN array and how the function is executed using a sequence of wave operations. Furthermore, we explain how gray-scale waves could reduce the number...
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