Iterative generation of complex reference functions in a joint-transform correlator

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Abstract
Iterative learning procedures on hybrid electro-optic systems are employed to generate complex discriminant reference functions. The procedures are implemented experimentally on a joint-transform correlator by using a single inexpensive spatial light modulator. High-quality class discrimination is demonstrated even in the presence of noise.