title: Optical implementation and applications of closest-vector selection in neural networks.
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.
authors.forename: S A
authors.initials: SA
authors.lastname: Collins
authors.forename: S C
authors.initials: SC
authors.lastname: Ahalt
authors.forename: A K
authors.initials: AK
authors.lastname: Krishnamurthy
authors.forename: D F
authors.initials: DF
authors.lastname: Stewart