2020 IEEE International Symposium
on Information Theory

21-26 June 2020 • Los Angeles, California, USA

2020 IEEE International Symposium
on Information Theory

21-26 June 2020 • Los Angeles, California, USA

Technical Program

S.5: Error Exponents

Session Type: Lecture
Track: Shannon Theory
Virtual Session: View on Virtual Platform
Session Chair: Hideki Yagi, University of Electro-Communications
 
S.5.1: The Asymptotic Generalized Poor-Verdú Bound Achieves the BSC Error Exponent at Zero Rate
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         Ling-Hua Chang; Yuan-Ze University
         Po-Ning Chen; Chiao Tung University
         Fady Alajaji; Queen's university
         Yunghsiang S. Han; Dongguan University of Technology
 
S.5.2: Proof of Convergence for Correct-Decoding Exponent Computation
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         Sergey Tridenski; Bar-Ilan University
         Anelia Somekh-Baruch; Bar-Ilan University
         Ram Zamir; Tel-Aviv University
 
S.5.3: Revisiting Zero-Rate Bounds on the Reliability Function of Discrete Memoryless Channels
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         Marco Bondaschi; University of Brescia
         Marco Dalai; University of Brescia
 
S.5.4: Refined Strong Converse for the Constant Composition Codes
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         Hao-Chung Cheng; University of Cambridge
         Barış Nakiboğlu; Middle East Technical University
 
S.5.5: Variable-Length Source Dispersions Differ under Maximum and Average Error Criteria
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         Yuta Sakai; National University of Singapore
         Vincent Y. F. Tan; National University of Singapore
 

Plan Ahead

IEEE ISIT 2021

2021 IEEE International Symposium on Information Theory

11-16 July 2021 | Melbourne, Victoria, Australia

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