Time And Space Integrating Optical Laboratory Matrix-Vector Array Processor

David Casasent; Steven Riedl

doi:10.1117/12.976244

23 March 1986 Time And Space Integrating Optical Laboratory Matrix-Vector Array Processor

David Casasent, Steven Riedl

Proceedings Volume 0698, Real-Time Signal Processing IX; (1986) https://doi.org/10.1117/12.976244
Event: 30th Annual Technical Symposium, 1986, San Diego, United States

Abstract

The laboratory realization of a hybrid time and space integrating acousto-optic array processor is described with the fabrication of the system and its electronic support and a case study finite element solution on the laboratory system facility emphasized. The output detector system in this processor is unique and allows the use of different number representations. We emphasize the use of this system for a new sign-magnitude bipolar data representation that is quite attractive for use with a new one-channel LU decomposition algorithm and architecture to solve linear algebraic equations (LAEs). These features are employed in our finite element case study. This work represents: the first laboratory optical matrix vector multi-channel processor, the first laboratory realization and demonstration of a new LU decomposition algorithm, the first laboratory LAE direct solution demonstration, the first finite element method optical laboratory solution demonstration, a new mixed-radix to binary conversion technique, plus a new partitioning technique to allow higher accuracy than the number of bit channels permits as well as system hardware and speed trade-offs. Such optical array processors are of use as linear algebra processors, associative memory processors, feature extractors for pattern recognition, and in nearest neighbor classifiers as well as neural networks.

Citation Download Citation

David Casasent and Steven Riedl "Time And Space Integrating Optical Laboratory Matrix-Vector Array Processor", Proc. SPIE 0698, Real-Time Signal Processing IX, (23 March 1986); https://doi.org/10.1117/12.976244

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