Abstract

An optical associative memory with bipolar edge-enhanced feature learning that uses a ferroelectric liquid-crystal spatial light modulator and a barium titanate crystal is presented. During the learning procedure the bipolar edge-enhanced versions of the patterns are employed, which enable the associative memory to have a high discrimination capability. Experimental results and computer simulations are given.

© 1995 Optical Society of America

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