Some Comments on the Design of Quantizers.

Abstract

In many applications involving quantization the probability distribution of the input signal is unknown. However, most of the algorithms for optimal scalar or vector quantization require an explicit distribution function or probability density. This paper shows that under certain conditions reasonable quantizer designs can be expected when standard algorithms are applied to estimates of distribution functions. (Author).

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Document Details

Document Type
Technical Report
Publication Date
May 30, 1985
Accession Number
ADA160321

Entities

People

  • E. F. Abaya
  • G. L. Wise

Organizations

  • University of Texas at Austin

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Applied Mathematics
  • Distribution Functions
  • Electrical Engineering
  • Estimators
  • Information Theory
  • Integrals
  • Mathematics
  • New York
  • Probability
  • Probability Density Functions
  • Probability Distributions
  • Random Variables
  • Sequences
  • Standards
  • Theorems

Fields of Study

  • Engineering

Readers

  • Approximation Theory.