Strong converse, feedback channel capacity and hypothesis testing
作者:
Po‐Ning Chen,
Fady Alajaji,
期刊:
Journal of the Chinese Institute of Engineers
(Taylor Available online 1995)
卷期:
Volume 18,
issue 6
页码: 777-785
ISSN:0253-3839
年代: 1995
DOI:10.1080/02533839.1995.9677746
出版商: Taylor & Francis Group
关键词: strong converse;channel capacity;hypothesis testing
数据来源: Taylor
摘要:
In light of recent results by Verdú and Han on channel capacity, we examine three problems: the strong converse condition to the channel coding.theorem, the capacity of arbitrary channels with feedback and the Neyman‐Pearson hypothesis testing type‐II error exponent. It is first remarked that the strong converse condition holds if and only if the sequence of normalized channel information densities converges in probability to a constant. Examples illustrating this condition are provided. A general formula for the capacity of arbitrary channels with output feedback is then obtained. Finally, a general expression for the Neyman‐Pearson type‐II error exponent based on arbitrary observations subject to a constant bound on the type‐I error probability is derived.
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