The distributed Karhunen-Loeve transform

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.


Published in:
IEEE International Workshop on Multimedia Signal Processing, 57-60
Presented at:
IEEE International Workshop on Multimedia Signal Processing, St Thomas, Virgin Islands, US, 9-11 December 2002
Year:
2002
Keywords:
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 Record created 2005-04-18, last modified 2018-03-18

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