The distributed Karhunen-Loeve transform

被引：0

作者：

Gastpar, M ^{[1
]}

Dragotti, PL ^{[1
]}

Vetterli, M ^{[1
]}

机构：

[1] Ecole Polytech Fed Lausanne, LCAV, Audiovisual Commun Lab, CH-1015 Lausanne, Switzerland

来源：

PROCEEDINGS OF THE 2002 IEEE WORKSHOP ON MULTIMEDIA SIGNAL PROCESSING | 2002年

关键词：

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

The Karhunen-Loeve transform is a key element of many signal processing tasks, including classification and compression. In this paper, we consider distributed signal processing scenarios with limited communication between correlated sources, and we investigate a distributed Karhunen-Loeve transform (KLT). In particular, a partial KLT (where only a subset of sources are observed) and a conditional KLT (where some sources act as side information) are posed and solved in a rate-distortion sense. The partial KLT leads to an original bit allocation problem, while the conditional KLT leads to a Wyner Ziv solution which is separable at the sources. These two cases can be seen as extreme cases of a distributed KLT.

引用

页码：57 / 60

页数：4

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