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

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. In this Letter we extend the procedure of performing the whole process of learning and pattern recognition on the same hybrid electro-optic system. 1 ' 2 We show that fully complex-valued discriminant reference functions (DRF's) can be constructed and that they are capable of high discrimination even if they are produced on inexpensive spatial light modulators (SLM's). Various architectures are suitable for the procedures to be described. The joint-transform correlator 3 (JTC) is convenient 2 because the presentation of

Iterative generation of holograms on spatial light modulators

Iterative learning procedures on a hybrid electro-optic system can be employed to generate holograms on inexpensive liquid-crystal-television spatial light modulators. The algorithm takes into account random electronic noise in the system and compensates for spatial-light-modulator distortions. Experimental results are given for the reconstruction of intensity distribution, and computer simulations demonstrate the possibility of a complete complex amplitude reconstruction. Most of the recently considered architectures for optical signal processing contain computer-generated holograms or spatial filters. It is frequently desired to update these components in real time by employing spatial light modulators (SLM's). Unfortunately, when computer-generated components are displayed on currently available SLM's, their performance is substantially deteriorated owing to limited information capacity, distortions, and interpixel dead regions. The objective of this research is the implementation o