Cart (Loading....) | Create Account
Close category search window

Admissibility properties or Gilbert's encoding for unknown source probabilities (Corresp.)

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

1 Author(s)

Huffman coding provides optimal source encoding for events of specified source probabilities. Gilbert has proposed a scheme for source encoding when these source probabilities are imperfectly known. This correspondence shows that Gilbert's scheme is a Bayes scheme against a certain natural prior distribution on the source probabilities. Consequently, since this prior distribution has nonzero mass everywhere, Gilbert's scheme is admissible in the sense that no source encoding has lower average code length for every choice of source probabilities.

Published in:

Information Theory, IEEE Transactions on  (Volume:18 ,  Issue: 1 )

Date of Publication:

Jan 1972

Need Help?

IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.