REAL-TIME SIGNAL CLASSIFICATION WITH AN ACOUSTOOPTIC TRIPLE-PRODUCT PROCESSOR CASCADED INTO A VOLUME HOLOGRAPHIC CLASSIFIER

An all-optical generalized linear machine applied to a high-bandwidth temporal signal-classification problem is demonstrated. The classifier consists of a dimensional increasing acousto-optic triple-product pro cessor feature extractor cascaded through an optically addressed spati al light modulator into a volume holographic implementation of a linea r classifier. Multiple-exposure implementations of learning are used t o train the classifier interconnection weights in a photorefractive cr ystal for a training set of wide-bandwidth temporal signals input to t he acousto-optic triple-product processor. Experimental implementation of high-speed, time-shift and Doppler invariant, wide-bandwidth signa l identification is demonstrated. (C) 1996 Optical Society of America