Quantization and Source Encoding with a Fidelity Criterion: A Survey.

Abstract

Quantizers have been considered as tools for encoding discrete time information sources for a variety of reasons. Some of these reasons are simple implementation, familiarity to engineers, and an available volume of associated research results. This survey provides a brief analysis of an exhaustive list of references, which has been categorized with respect to significant research and development issues in the areas of quantization, source encoding, and their interrelationship. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Mar 25, 1977
Accession Number
ADA038650

Entities

People

  • Joel M. Morris

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Communication Systems
  • Computational Complexity
  • Computational Science
  • Computer Programming
  • Computer Programs
  • Data Compression
  • Electrical Engineering
  • Estimators
  • Functional Analysis
  • Information Theory
  • Mathematical Filters
  • Probability
  • Random Variables
  • Signal Processing
  • Statistical Analysis
  • Surveys

Fields of Study

  • Engineering

Readers

  • Approximation Theory.
  • Business Analytics
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.