Simply Instrumentable and Optimal Digitization of Analog Information Sources.

Abstract

This document reports progress on Simply Instrumentable and Optimal Digitization of Analog Information Sources. New techniques for encoding sources with and without memory are described in Section 1 and the papers, presentations, and theses supported by the research are listed in Section 2. Three new optimal coding methods, generalizing previous ones, have been discovered for stationary Gaussian sources and the squared-error distortion measure. These methods, which store codewords on trees and trellises and utilize systematic search algorithms, are being applied to actual speech and image data. Also, the code storage requirements are not large, as this research has shown that small code letter alphabets give nearly optimal results. (Authors)

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Document Details

Document Type
Technical Report
Publication Date
Jun 29, 1983
Accession Number
ADA135124

Entities

People

  • W. A. Pearlman

Organizations

  • Rensselaer Polytechnic Institute

Tags

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Alphabets
  • Coding
  • Computer Programming
  • Data Compression
  • Distortion
  • Engineering
  • Finite Alphabet
  • Information Science
  • Information Theory
  • Probability
  • Simulations
  • Stationary
  • Systems Engineering
  • Theorems
  • Theses

Readers

  • Computer Programming and Software Development.
  • Statistical inference.
  • Technical Research and Report Writing.