具有马尔可夫性的高斯多终端信源编码:一个有效可计算的外界

2020 IEEE International Symposium on Information Theory (ISIT) Pub Date : 2020-06-01 DOI:10.1109/ISIT44484.2020.9174414

O. Bilgen, A. Wagner

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引用次数: 0

摘要

我们提供了一种高斯分布压缩问题的外边界的方法，其中源变量可以嵌入到高斯-马尔可夫树中。得到的外界采用凸优化问题的形式。模拟表明，在许多情况下，外界与伯杰-东内界很接近，并与之一致。

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Gaussian Multiterminal Source-Coding with Markovity: An Efficiently-Computable Outer Bound

We provide a method for outer bounding the rate- distortion region of Gaussian distributed compression problems in which the source variables can be embedded in a Gauss- Markov tree. The outer bound so obtained takes the form of a convex optimization problem. Simulations demonstrate that the outer bound is close to the Berger-Tung inner bound, coinciding with it in many cases.

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2020 IEEE International Symposium on Information Theory (ISIT)

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