Optical implementation and applications of closest-vector selection in neural networks

S A Collins Jr; S C Ahalt; A K Krishnamurthy; D F Stewart

doi:10.1364/AO.32.001297

Optical implementation and applications of closest-vector selection in neural networks

Appl Opt. 1993 Mar 10;32(8):1297-303. doi: 10.1364/AO.32.001297.

Authors

S A Collins Jr, S C Ahalt, A K Krishnamurthy, D F Stewart

PMID: 20820263
DOI: 10.1364/AO.32.001297

Abstract

Closest-vector selection is a process that underlies one technique for sending compressed-signal sets over noisy communication channels. Recently it has had application in radar target identification, speech and image analysis, pattern classification, and neural-net training. Various applications of closest-vector selection are discussed, and the design of an all-optical system that performs closest-vector selection is presented.