Technical Program

Paper Detail

Paper IDS.5.1
Paper Title The Asymptotic Generalized Poor-Verdú Bound Achieves the BSC Error Exponent at Zero Rate
Authors Ling-Hua Chang, Yuan-Ze University, Taiwan; Po-Ning Chen, Chiao Tung University, Taiwan; Fady Alajaji, Queen's university, Canada; Yunghsiang S. Han, Dongguan University of Technology, China
Session S.5: Error Exponents
Presentation Lecture
Track Shannon Theory
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Abstract The generalized Poor-Verdu error lower bound for multihypothesis testing is revisited. Its asymptotic expressionis 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.

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2021 IEEE International Symposium on Information Theory

11-16 July 2021 | Melbourne, Victoria, Australia

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