Generalized writing on dirty paper

被引：25

作者：

Cohen, AS ^{[1
]}

Lapidoth, A ^{[1
]}

机构：

[1] MIT, Cambridge, MA 02139 USA

来源：

ISIT: 2002 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY, PROCEEDINGS | 2002年

关键词：

D O I：

10.1109/ISIT.2002.1023499

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 expand Costa's writing on dirty paper model to consider general distributions on the two sources of additive noise - one known non-causally to the encoder. We show that, under certain conditions, the capacity is unaffected by the known noise if and only if the unknown noise is Gaussian.

引用

页码：227 / 227

页数：1

共 7 条

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CAIRE G, 2001, P ISIT

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