title: Shift-invariant interpattern association neural network.
abstract: A shift-invariant neural network that uses the translation-invariant property of the modulus Fourier spectra with the heteroassociation interpattern association memory is proposed. A binary encoding of a spectral sampling of the training set is used to preserve the main features. Computer simulations and experimental demonstrations are provided that show the shift-invariant property of the proposed optical neural network.
authors.forename: C M
authors.initials: CM
authors.lastname: Uang
authors.forename: S
authors.initials: S
authors.lastname: Yin
authors.forename: P
authors.initials: P
authors.lastname: Andres
authors.forename: W
authors.initials: W
authors.lastname: Reeser
authors.forename: F T
authors.initials: FT
authors.lastname: Yu