| This thesis is a theoretical and experimental investigation of a real-time automatic optical pattern recognition and hybrid optical computing system. Based on system modeling, the theoretical analysis and computer simulation method are used to analyze the performance of the proposed system. The study shows that the proposed system combines the advantages of parallel optical signal processing systems and electronic digital computers. This microcomputer-based optical processor can perform various important operations with both high speed parallel processing capability and programmability.;Hybrid optical computing is another concern of this thesis. Several new optical computing architectures are proposed for various applications, such as matrix algebraic processing, discrete linear transformations, and logic operations. The performances of these hybrid optical computing systems, such as throughput, accuracy, and error rate are analyzed, and the comparison of some parameters among these proposed processors and some previously developed processors are also given.;The joint transform correlation method is employed to perform real-time automatic optical pattern recognition. The effects of the noise interference and the non-ideal behaviors of some electro-optic devices on the system performance are also studied. |
