By Topic

High-order entropy coding for tree structured vector quantization

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

3 Author(s)
Jun Seek Song ; Sch. of Electr. Eng., Seoul Nat. Univ., South Korea ; Seung Jun Lee ; Choong Woong Lee

This paper presents an efficient noiseless encoding scheme for a balanced/unbalanced tree structured vector quantization (TSVQ) system utilizing high order statistics of TSVQ indices. The proposed encoding scheme includes a reduction method of both the number of conditioning states and the size of entropy table at each encoder state. In addition, to effectively manage a given amount of memory resource, the memory constrained encoding problem is examined. Simulation results show the proposed scheme brings remarkable bitrate reduction even under a moderate amount of memory

Published in:

Circuits and Systems, 1996., IEEE Asia Pacific Conference on

Date of Conference:

18-21 Nov 1996