Multiple Description Coding for Stationary Gaussian Sources

被引：8

作者：

Chen, Jun ^{[1
]}

Tian, Chao ^{[2
,3
]}

Diggavi, Suhas ^{[2
]}

机构：

[1] McMaster Univ, Dept Elect & Comp Engn, Hamilton, ON L8S 4K1, Canada

[2] Ecole Polytech Fed Lausanne, Sch Comp & Commun Sci, CH-1015 Lausanne, Switzerland

[3] AT&T Labs Res, Florham Pk, NJ 07932 USA

来源：

IEEE TRANSACTIONS ON INFORMATION THEORY | 2009年 / 55卷 / 06期

基金：

瑞士国家科学基金会;

关键词：

Gaussian source; lattice quantization; multiple description coding; power spectrum; FILTER BANKS; CHANNELS;

D O I：

10.1109/TIT.2009.2018178

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

We consider the problem of multiple description coding for stationary Gaussian sources under the squared error distortion measure. The rate region is characterized for the 2-description case. It is shown that each supporting line of the rate region is achievable with a transform lattice quantization scheme. We show the optimal coding scheme has a natural spectral domain coding interpretation, which yields a reverse water-filling solution with a frequency-dependent water level instead of the flat water level as in the conventional single description case.

引用

页码：2868 / 2881

页数：14

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