Optimal linear labelling for the minimisation of both source and channel distortion

被引：6

作者：

Belfiore, JC ^{[1
]}

Giraud, X ^{[1
]}

Rodriguez-Guisantes, J ^{[1
]}

机构：

[1] Ecole Natl Super Telecommun, F-75013 Paris, France

来源：

2000 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY, PROCEEDINGS | 2000年

关键词：

D O I：

10.1109/ISIT.2000.866702

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In [1], it was proved that distortion due to a binary symmetric channel is minimized by a linear labelling. In this paper, we show how to obtain an asymptotically optimal linear labelling which also minimizes the source distortion for Gaussian sources. This linear labelling is based oh the notion of component diversity which can be obtained by algebraic constructions derived from Number Theory [3].

引用

页码：404 / 404

页数：1

共 3 条

[1] OPTIMAL QUANTIZER DESIGN FOR NOISY CHANNELS - AN APPROACH TO COMBINED SOURCE-CHANNEL CODING [J].