On Sub-optimality of Random Binning for Distributed Hypothesis Testing
2022 IEEE International Symposium on Information Theory (ISIT)（2022）
摘要
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.
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关键词
binary symmetric double sources,sequential scheme,SHA scheme,distributed hypothesis testing,binning scheme,Shimokawa-Han-Amari scheme,random binning sub-optimality,quantizescheme
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