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Optical Engineering

General purpose acousto-optic connectionist processor
Author(s): Thomas J. Naughton; Zohreh Javadpour; John G. Keating; Milos Klima; Jiri Rott
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Paper Abstract

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.

Paper Details

Date Published: 1 July 1999
PDF: 8 pages
Opt. Eng. 38(7) doi: 10.1117/1.602167
Published in: Optical Engineering Volume 38, Issue 7
Show Author Affiliations
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)

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