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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.
Stanley C. Ahalt,Stuart A. Collins Jr.,Ashok K. Krishnamurthy, andD. Stewart
"Optical system for closest vector selection with applications to neural nets", Proc. SPIE 1319, Optics in Complex Systems, (1 July 1990); https://doi.org/10.1117/12.22145
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Stanley C. Ahalt, Stuart A. Collins Jr., Ashok K. Krishnamurthy, D. Stewart, "Optical system for closest vector selection with applications to neural nets," Proc. SPIE 1319, Optics in Complex Systems, (1 July 1990); https://doi.org/10.1117/12.22145