Lossy Source Coding with Gaussian or Erased Side-Information. Perron, E., Diggavi, S N., & Telatar, I E. In IEEE International Symposium on Information Theory (ISIT), Seoul, Korea, pages 1035–1039, June, 2009.
abstract   bibtex   
In this paper we find properties that are shared between two seemingly unrelated lossy source coding setups with side-information. The first setup is when the source and sideinformation are jointly Gaussian and the distortion measure is quadratic. The second setup is when the side-information is an erased version of the source. We begin with the observation that in both these cases the Wyner-Ziv and conditional ratedistortion functions are equal. Next, we consider the case when there are two decoders with access to different side-information sources. For the case when the encoder has access to the sideinformation we establish bounds on the rate-distortion function and a sufficient condition for tightness. Under this condition, we find a characterization of the rate-distortion function for physically degraded side-information. This characterization holds for both the Gaussian and erasure setups.
@inproceedings{PDTj09b,
 abstract = {In this paper we find properties that are shared
between two seemingly unrelated lossy source coding setups with
side-information. The first setup is when the source and sideinformation
are jointly Gaussian and the distortion measure is
quadratic. The second setup is when the side-information is an
erased version of the source. We begin with the observation
that in both these cases the Wyner-Ziv and conditional ratedistortion
functions are equal. Next, we consider the case when
there are two decoders with access to different side-information
sources. For the case when the encoder has access to the sideinformation
we establish bounds on the rate-distortion function
and a sufficient condition for tightness. Under this condition,
we find a characterization of the rate-distortion function for
physically degraded side-information. This characterization holds
for both the Gaussian and erasure setups.},
 author = {E. Perron and S N. Diggavi and I E. Telatar},
 booktitle = {IEEE International Symposium on Information Theory (ISIT), Seoul, Korea},
 file = {:papers:pdtencsiisit09.pdf|},
 label = {pdt_c09b},
 month = {June},
 note = {},
 pages = {1035--1039},
 tags = {conf,RDSI,NDC,IT,SelConf},
 title = {Lossy Source Coding with Gaussian or Erased Side-Information},
 type = {4},
 year = {2009}
}

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