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Outer bounds for multiterminal source coding via a strong data processing inequality

机译:通过强大的数据处理不平等性实现多终端源编码的界限

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摘要

An intuitive outer bound for the multiterminal source coding problem is given. The proposed bound explicitly couples the rate distortion functions for each source and correlation measures which derive from a “strong” data processing inequality. Unlike many standard outer bounds, the proposed bound is not parameterized by a continuous family of auxiliary random variables, but instead only requires maximizing two ratios of divergences which do not depend on the distortion functions under consideration.
机译:给出了多终端源编码问题的直观外部界限。所提出的界限明确地将每个来源的速率失真函数与从“强”数据处理不平等中得出的相关性度量结合起来。与许多标准外部边界不同,建议的边界不是通过连续的辅助随机变量系列进行参数化,而是仅需要最大化两个散度比即可,这两个散度比不依赖于所考虑的失真函数。

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