Clustering in Discrete Stochastic processes with Application to Channels having Memory.

Abstract

The study investigates the disorder properties of random sequences for applications in transmission-channel characterization, coding and data compression. The material is presented in two parts. The first one begins with a systematic introduction to the problem of memory in binary discrete-time stochastic processes. The second part develops the study of statistics for real channel error sequences that are the most useful in implementing present transmission schemes. (Author)

Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1970
Accession Number
AD0714624

Entities

People

  • Bruce D. Fritchman
  • Jean-pierre A. Adoul
  • Laveen N. Kanal

Organizations

  • Lehigh University

Tags

DTIC Thesaurus Topics

  • Clustering
  • Compression
  • Computing-Related Activities
  • Data Compression
  • Data Science
  • Diseases And Disorders
  • Materials
  • Mathematics
  • Sequences
  • Statistics
  • Stochastic Processes

Readers

  • Business Analytics
  • Computer Programming and Software Development.
  • Mathematical Modeling and Probability Theory.