
Proceedings Paper
Optical Polynomial Vector ProcessingFormat | Member Price | Non-Member Price |
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Paper Abstract
Polynomial processing can be applied to a number of potential applications, including general nonlinear operations using the Volterra series, eigenvalue computations via solutions to polynomial characteristic equations, pattern recognition, and polynomial neural networks[1]. Since most of these applications use vector-valued inputs (i.e., multiple-variable inputs), an optical polynomial vector processor is investigated and implemented here.
Paper Details
Date Published: 1 January 1987
PDF: 2 pages
Proc. SPIE 0813, Optics and the Information Age, (1 January 1987); doi: 10.1117/12.967359
Published in SPIE Proceedings Vol. 0813:
Optics and the Information Age
Henri H. Arsenault, Editor(s)
PDF: 2 pages
Proc. SPIE 0813, Optics and the Information Age, (1 January 1987); doi: 10.1117/12.967359
Show Author Affiliations
Shing Hong Lin, Texas Tech University (United States)
Thomas F. Krile, Texas Tech University (United States)
Thomas F. Krile, Texas Tech University (United States)
John F. Walkup, Texas Tech Universlty (United States)
Published in SPIE Proceedings Vol. 0813:
Optics and the Information Age
Henri H. Arsenault, Editor(s)
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