By Topic

A new trellis source code for memoryless sources

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

2 Author(s)
Liuyang Yang ; Intel Corp., Hillsboro, OR, USA ; Fischer, T.R.

The trellis-based scalar-vector quantizer (TB-SVQ) for memoryless sources combines the scalar-vector quantizer (SVQ) with trellis coded quantization (TCQ) to achieve both boundary gain and granular gain. The resulting quantizer outperforms all other reasonable complexity fixed-rate quantizers. Unfortunately, the resulting code is catastrophic-a single bit error within a block can propagate indefinitely into other blocks. This correspondence presents a new trellis source code that can achieve essentially the same, or in some cases better, performance as the TB-SVQ for error-free channels, but limits the propagation of channel errors

Published in:

Information Theory, IEEE Transactions on  (Volume:44 ,  Issue: 7 )