Abstract

The use of a dynamic lenslet array processor for the implementation of unipolar and bipolar analog inner product, outer product, and vector sum operations is described. Its matrix–vector operations are used as a basis for neural networks and digital circuits. Experimental results of two circuits are presented: a unipolar neural network that computes parity of a 3-bit input word and a digital 3-to-8 decoder circuit.

© 1993 Optical Society of America

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