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Media type:
E-Article
Title:
Source Coding Theorems for Stationary, Continuous-time Stochastic Processes
Contributor:
Pursley, Michael B.;
Gray, Robert M.
imprint:
Institute of Mathematical Statistics, 1977
Published in:The Annals of Probability
Language:
English
ISSN:
0091-1798
Origination:
Footnote:
Description:
<p>New results are presented on the problem of source coding subject to a fidelity criterion for stationary, measurable, continuous-time stochastic processes. The main result is established without an ergodicity requirement and for quite general reproduction alphabets. This is then specialized to ergodic sources to prove a coding theorem for ergodic continuous-time sources. The approach is to obtain coding theorems for continuous-time sources from the coding theorem for nonergodic discrete-time sources.</p>