A shift-invariant neural network that uses the translation-invariant p
roperty of the modulus Fourier spectra with the heteroassociation inte
rpattern association memory is proposed. A binary encoding of a spectr
al sampling of the training set is used to preserve the main features.
Computer simulations and experimental demonstrations are provided tha
t show the shift-invariant property of the proposed optical neural net
work.