论文标题
关于分布式假设检验的随机套在一起的亚临时性
On Sub-optimality of Random Binning for Distributed Hypothesis Testing
论文作者
论文摘要
我们研究了分布式假设检验的量化和构造方案，称为Shimokawa-Han-Amari（SHA）方案。我们开发了评估SHA计划可实现的关键利率的工具。对于二元对称双源源的产物，我们提出了一个顺序方案，该方案可以改善SHA方案。
We investigate the quantize and binning scheme, known as the Shimokawa-Han-Amari (SHA) scheme, for the distributed hypothesis testing. We develop tools to evaluate the critical rate attainable by the SHA scheme. For a product of binary symmetric double sources, we present a sequential scheme that improves upon the SHA scheme.
