Optical Analog & Hybrid Computer Solution of Partial Differential Equations.

Abstract

The hybrid optical/electronic processing research at UCSD involves several approaches: (i) Applying digital statistical pattern recognition theory to optical system via the use of computer generated holograms for optical statistical pattern recognition. (ii) Incorporting image amplifier into an optical feedback system for solving partial differential equations and performing matrix inversion. (iii) Producing nonlinear optical devices using silicon and PLZT for nonlinear image processing. (iv) Demonstrating the feasibility of hybrid computing using integrated optical and integrated electronic circuits.

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Document Details

Document Type
Technical Report
Publication Date
Oct 02, 1983
Accession Number
ADA137028

Entities

People

  • Sang‐Hyun Lee

Organizations

  • University of California, San Diego

Tags

Communities of Interest

  • Advanced Electronics

DTIC Thesaurus Topics

  • Computer Simulations
  • Differential Equations
  • Dye Lasers
  • Electronic Circuits
  • Films
  • Hybrid Systems
  • Image Processing
  • Lasers
  • Liquid Dye Lasers
  • Optical Processing
  • Optics
  • Optoelectronic Devices
  • Partial Differential Equations
  • Pattern Recognition
  • Plastic Explosives
  • Simulations
  • Two Dimensional

Fields of Study

  • Physics

Readers

  • Computer Vision.
  • Finite Element Method (FEM) for solving Partial Differential Equations (PDEs)
  • Optical Physics and Photonics.

Technology Areas

  • AI & ML
  • AI & ML - Machine Learning Algorithms
  • Microelectronics