Study of Microcomputer-Based Real-Time Programmable Optical Signal Processor and Application.

Abstract

We have, in this period, developed a microcomputer-based optical linear transformation processing technique. The technique utilizes a systolic array processing method to perform various types of linear transformations, such as discrete Fourier transformation, discrete Hilbert transformation, discrete chirp-Z transformation and many others. By partially parallel addressing two magneto-optic spatial light modulators (MOSLM), this proposed system would offer high speed and parallel processing capability of optics and programmability of microcomputer. In this research, we have shown that a color liquid crystal television (LCTV) can be used for color pattern recognition. The grid structure of the display panel together with a specially designed color filter provides spatially isolated polychromatic spectra to enable polychromatic signal detection. We have found a serious drawback of the color LCTV which is the lack of space invariance, even after it has been immersed in a liquid gate. This drawback is primarily due to the inherent color filter in the liquid crystal display and the phase modulation by liquid crystal molecules. A quantitative investigation of space variance of the LCTV, especially the color LCTV, is currently being studied.

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Document Details

Document Type
Technical Report
Publication Date
Nov 18, 1987
Accession Number
ADA190076

Entities

People

  • Francis T. Yu

Organizations

  • Pennsylvania State University

Tags

Communities of Interest

  • Advanced Electronics
  • Air Platforms
  • Biomedical

DTIC Thesaurus Topics

  • Air Force
  • Central Processing Units
  • Data Processing
  • Detectors
  • Diffraction
  • Electrical Engineering
  • Image Processing
  • Information Processing
  • Logic Gates
  • Modulators
  • Optical Correlators
  • Optical Modulators
  • Optics
  • Parallel Computing
  • Pattern Recognition
  • Signal Processing
  • Two Dimensional

Fields of Study

  • Engineering
  • Physics

Readers

  • Human-Computer Interaction (HCI).
  • Image Processing and Computer Vision.
  • Parallel and Distributed Computing.

Technology Areas

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