On Sub-optimality of Random Binning for Distributed Hypothesis Testing
Information Theory
2022-02-03 v2 math.IT
Abstract
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.
Cite
@article{arxiv.2201.13005,
title = {On Sub-optimality of Random Binning for Distributed Hypothesis Testing},
author = {Shun Watanabe},
journal= {arXiv preprint arXiv:2201.13005},
year = {2022}
}
Comments
6 pages; v2 added a reference