Real-time electro-optical pattern recognition and optical computing

Thesis/Dissertation · Thu Jan 01 04:00:00 EST 1987

OSTI ID:7245061

Cao, M

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. The join-transform correlation method is employed to perform real-time automatic optical pattern recognition. Hybrid optical computing is another concern of this thesis. Several new optical-computing architecture 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.

• Research Organization: Pennsylvania State Univ., University Park (USA)
• OSTI ID: 7245061
• Country of Publication: United States
• Language: English

Related Subjects

99 GENERAL AND MISCELLANEOUS
990210* -- Supercomputers-- (1987-1989)
COMPUTER ARCHITECTURE
COMPUTERIZED SIMULATION
COMPUTERS
ELECTRONIC CIRCUITS
HYBRID COMPUTERS
MICROELECTRONIC CIRCUITS
MICROPROCESSORS
OPTICAL COMPUTERS
PARALLEL PROCESSING
PATTERN RECOGNITION
PROGRAMMING
REAL TIME SYSTEMS
SIMULATION