Thomas J. Naughton National Univ. of Ireland/Maynooth (Ireland) Zohreh Javadpour National Univ. of Ireland (Ireland) John G. Keating National University of Ireland (Ireland) Milos Klima Technical Univ. Prague (Czech Republic) Jiri Rott Czech Technical Univ. (Poland)
We present a reconfigurable optical implementation of an acousto-optic algebra processor, based on a calomel (single crystal mercurous chloride) matrix-vector multiplier. Two successful applications are demonstrated: neural network training and curve detection. In the first, a perceptron learns two-input Boolean functions. in the second, a connec- tionist model of the Hough transform is generalized to handle arbitrary curves. Experiments for line detection and circle detection are performed, and the Hough transform's throughput is solely limited by the update latency of the acousto-optic unit.