Computer-generated holograms for optical neural networks: on-axis versus off-axis geometry

Paul E. Keller, Arthur F Gmitro

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

This paper discusses the geometry of diffraction in relation to optical neural networks based on computer-generated holograms. Standard off-axis geometry, on-geometry and modified on-geometry are compared with respect to performance trade-off between interconnect accuracy and space-bandwidth product (SBWP), diffraction efficiency, and sensitivity to fabrication errors. Analysis shows that provided the SBWP is a critical constraint, and fabrication errors are controlled, the modified on-axis diffraction geometry is more suited. For the case where there are sizable fabrication errors and greater SBWP is allowable for interconnections, a binary-phase off-axis hologram is the better choice.

Original languageEnglish (US)
Pages (from-to)1304-1310
Number of pages7
JournalApplied Optics
Volume32
Issue number8
StatePublished - Jan 1 1993

Fingerprint

Holograms
Neural networks
Geometry
geometry
bandwidth
Bandwidth
Fabrication
fabrication
products
Diffraction
diffraction
Diffraction efficiency
sensitivity

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics

Cite this

Computer-generated holograms for optical neural networks : on-axis versus off-axis geometry. / Keller, Paul E.; Gmitro, Arthur F.

In: Applied Optics, Vol. 32, No. 8, 01.01.1993, p. 1304-1310.

Research output: Contribution to journalArticle

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