The Asymptotic Generalized Poor-Verdú Bound Achieves the BSC Error Exponent at Zero Rate

Ling Hua Chang, Po Ning Chen, Fady Alajaji, Yunghsiang S. Han

研究成果: Conference contribution同行評審

2 引文 斯高帕斯(Scopus)

摘要

The generalized Poor-Verdú error lower bound for multihypothesis testing is revisited. Its asymptotic expression is established in closed-form as its tilting parameter grows to infinity. It is also shown that the asymptotic generalized bound achieves the error exponent (or reliability function) of the memoryless binary symmetric channel at zero coding rates.

原文English
主出版物標題2020 IEEE International Symposium on Information Theory, ISIT 2020 - Proceedings
發行者Institute of Electrical and Electronics Engineers Inc.
頁面2131-2136
頁數6
ISBN(電子)9781728164328
DOIs
出版狀態Published - 6月 2020
事件2020 IEEE International Symposium on Information Theory, ISIT 2020 - Los Angeles, 美國
持續時間: 21 7月 202026 7月 2020

出版系列

名字IEEE International Symposium on Information Theory - Proceedings
2020-June
ISSN(列印)2157-8095

Conference

Conference2020 IEEE International Symposium on Information Theory, ISIT 2020
國家/地區美國
城市Los Angeles
期間21/07/2026/07/20

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