By Topic

Multiple-Description Coding by Dithered Delta-Sigma 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

2 Author(s)
Ostergaard, J. ; Dept. of Inf. & Comm. Th., Delft Univ. of Technol. ; Zamir, R.

In this paper we address the connection between the multiple-description (MD) problem and delta-sigma quantization. Specifically, we exploit the inherent redundancy due to oversampling in delta-sigma quantization, and the simple linear-additive noise model resulting from dithered lattice quantization, in order to construct a symmetric MD coding scheme. We show that the use of feedback by means of a noise shaping filter makes it possible to trade off central distortion for side distortion. Asymptotically as the dimension of the lattice vector quantizer and order of the noise shaping filter approach infinity, we show that the symmetric two-channel MD rate-distortion function for the memoryless Gaussian source and MSE fidelity criterion can be achieved at any resolution. This realization provides a new interesting interpretation for the information theoretic solution. The proposed design is symmetric in rate by construction and there is therefore no need for source splitting

Published in:

Data Compression Conference, 2007. DCC '07

Date of Conference:

27-29 March 2007