Computer Science – Information Theory
Scientific paper
2012-02-06
Computer Science
Information Theory
Submitted to IEEE International Symposium on Information Theory, February 2012
Scientific paper
We study the vector Gaussian CEO problem, and obtain the optimal sum-rate that attains any given distortion. We show that the evaluation of the Berger-Tung inner bound with jointly Gaussian auxiliary random variables is optimal. We prove this optimality result by using channel enhancement in conjunction with a recent outer bound for the rate-distortion region of the vector Gaussian CEO problem.
Ekrem Ersen
Ulukus Sennur
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