Event-Train Restoration Via Backpropagation Neural Networks

Abstract

This project is investigating backpropagation neural networks for specific applications in passive electronic warfare involving restoration of deinterleaved event trains to their original broadcast form. This is different from traditional bit-error detection/correction which relies on a prior knowledge of what the original bit stream looked liked. In electronic warfare it is unlikely that such prior knowledge will be available. Results of this research can be applied to 3 major problem areas: 1) pulse-train restoration, 2) communications signal compression, and 3) data compression. (EDC)

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1989
Accession Number
ADA216308

Entities

People

  • Peter G. Raeth

Organizations

  • Wright Laboratory

Tags

Communities of Interest

  • Electronic Warfare
  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Abstracts
  • Air Force
  • Air Force Facilities
  • Algorithms
  • Artificial Intelligence
  • Avionics
  • Classification
  • Computers
  • Data Compression
  • Electronic Warfare
  • Governments
  • Military Applications
  • Neural Networks
  • Radio Frequency
  • Three Dimensional
  • Two Dimensional
  • Warfare

Readers

  • Computer Programming and Software Development.
  • Neural Network Machine Learning.

Technology Areas

  • AI & ML
  • AI & ML - Neural Networks
  • Microelectronics