An FPGA architecture to emulate a single-layer Cellular Neural Network -Universal Machine (CNN-UM) is proposed. It is based on a fast realization of the CNN convolution operation on the parallel hardware of the FPGA. The setup is capable of performing a CNN iteration over a 30×30 pixel image in less than 30 µs. Moreover, this platform has been used to realize the visual system of an autonomous mobile robot.
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