Strong Converse Theorem

The Strong Converse Theorem is a fundamental result in information theory which asserts that if the transmission rate exceeds the channel capacity, the probability of error in communication approaches one exponentially fast as the block length increases, thereby sharply delineating capacity as a strict operational threshold.

424

Publications

27.3K

Citations

542

Authors

287

Institutions

Publications per year

2017–2026

82

Variants

Strong Converse

Authors

542

  1. MM
    Mark M. Wilde

    Louisiana State University, United States

    12 publications · 860 citations

    11

    h-index

  2. YO
    Yasutada Oohama

    University of Electro-Communications, Japan

    11 publications · 247 citations

    11

    h-index

  3. SV
    Sergio Verdú

    Princeton University, United States

    10 publications · 1.9K citations

    10

    h-index

  4. AW
    Andreas Winter

    University of Bristol, United Kingdom

    9 publications · 1.6K citations

    9

    h-index

  5. VY
    Vincent Y. F. Tan

    National University of Singapore, Singapore

    6 publications · 96 citations

    7

    h-index

1–5 of 542

Venues

  1. IEEE Transactions on Information Theory

    87 publications · 7.6K citations

    37

    h-index

  2. Transactions of the American Mathematical Society

    TRAN · 13 publications · 619 citations

    11

    h-index

  3. arXiv (Cornell University)

    Repository · 17 publications · 288 citations

    11

    h-index

  4. Communications in Mathematical Physics

    6 publications · 874 citations

    7

    h-index

  5. Journal of Approximation Theory

    6 publications · 466 citations

    6

    h-index

1–5