ZERO-ORDER DATA AND TIME COMPRESSION ON SIMPLE MARKOV DATA.

Abstract

The article deals with the compression of the time words that are associated with zero-order data predictors. Compression of simple Markov data is analyzed using the zero-order data and time predictor. Expressions are formulated for the data, time, bit, and effective time compression ratios. Also, these ratios are given when simple Markov data is used as an input data source. The overall conclusion is that the effective time compression ratio is a function of the amount of dependency between successive time words and the number of data and time bits. Also, for simple Markov data, time compression is useful only for small bit compression ratios. (Author)

Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1969
Accession Number
AD0693029

Entities

People

  • L. C. Queen

Organizations

  • Johns Hopkins University Applied Physics Laboratory

Tags

DTIC Thesaurus Topics

  • Compression
  • Time Compression

Readers

  • Approximation Theory.
  • Image Processing and Computer Vision.
  • Mathematical Modeling and Probability Theory.