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Proceedings Paper

Optical system for closest vector selection with applications to neural nets
Author(s): Stanley C. Ahalt; Stuart A. Collins; Ashok K. Krishnamurthy; D. Stewart
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Paper Abstract

In this paper we present a design for an optical system which performs Closest Vector Selection (CVS) and which could be competitive with present electronic approaches. The application of closest vector selection has been an important one in communications. The incorporation of closest vector selection into neural nets, which have the capability of learning, yields a very powerful tool. The optical implementation has a potential capability better than that obtainable with electronic computers. In this paper, first the background will be presented and then the device itself will be described.

Paper Details

Date Published: 1 July 1990
PDF: 2 pages
Proc. SPIE 1319, Optics in Complex Systems, (1 July 1990); doi: 10.1117/12.22145
Show Author Affiliations
Stanley C. Ahalt, Ohio State Univ. (United States)
Stuart A. Collins, Ohio State Univ. (United States)
Ashok K. Krishnamurthy, Ohio State Univ. (United States)
D. Stewart, Ohio State Univ. (United States)

Published in SPIE Proceedings Vol. 1319:
Optics in Complex Systems
F. Lanzl; H.-J. Preuss; G. Weigelt, Editor(s)

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