论文标题
香农在有损的灰色智慧网络上的界限
Shannon Bounds on Lossy Gray-Wyner Networks
论文作者
论文摘要
研究了符合忠诚度标准的灰色网络。私人总和比率和公共利率之间的上限和下限是针对均衡误差失真的任意来源的。当源是共同的高斯时，边界完全相遇，导致速率区域的计算。当来源通过加性高斯“频道”建模时，它们会部分相遇。界限是从香农的范围启发的。
The Gray-Wyner network subject to a fidelity criterion is studied. Upper and lower bounds for the trade-offs between the private sum-rate and the common rate are obtained for arbitrary sources subject to mean-squared error distortion. The bounds meet exactly, leading to the computation of the rate region, when the source is jointly Gaussian. They meet partially when the sources are modeled via an additive Gaussian "channel". The bounds are inspired from the Shannon bounds on the rate-distortion problem.
