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Journal ArticleDOI

Gaussian multiterminal source coding

Yasutada Oohama
- Vol. 43, Iss: 6, pp 1912-1923
TLDR
The rate-distortion region is determined in a special case that one source plays a role of partial side information to reproduce sequences emitted from the other source with a prescribed average distortion level.
Abstract
We consider the problem of separate coding for two correlated memoryless Gaussian source. We determine the rate-distortion region in a special case that one source plays a role of partial side information to reproduce sequences emitted from the other source with a prescribed average distortion level. We also derive an explicit outer bound of the rate-distortion region, demonstrating that the inner bound obtained by Berger (1978) partially coincides with the rate-distortion region.

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Citations
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Wireless Network Information Flow: A Deterministic Approach

TL;DR: An exact characterization of the capacity of a network with nodes connected by deterministic channels is obtained, a natural generalization of the celebrated max-flow min-cut theorem for wired networks.
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Nested linear/lattice codes for structured multiterminal binning

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A First Course in Information Theory

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References
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Journal ArticleDOI

Noiseless coding of correlated information sources

TL;DR: The minimum number of bits per character R_X and R_Y needed to encode these sequences so that they can be faithfully reproduced under a variety of assumptions regarding the encoders and decoders is determined.
Journal ArticleDOI

The rate-distortion function for source coding with side information at the decoder

TL;DR: The quantity R \ast (d) is determined, defined as the infimum ofrates R such that communication is possible in the above setting at an average distortion level not exceeding d + \varepsilon .
Journal ArticleDOI

Source coding with side information and a converse for degraded broadcast channels

TL;DR: In Section H of the paper, a characterization of the capacity region for degraded broadcast channels (DBC's) is given, which was conjectured by Bergmans and is somewhat sharper than the one obtained by Gallager.
Journal ArticleDOI

The CEO problem [multiterminal source coding]

TL;DR: There does not exist a finite value of R for which even infinitely many agents can make D arbitrarily small, and in this isolated-agents case the asymptotic behavior of the minimal error frequency in the limit as L and then R tend to infinity is determined.
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