Error Exponents

Error Exponents is a theoretical metric in information theory that quantifies the exponential rate at which the probability of decoding error diminishes with increasing block length in channel coding, specifically characterizing the asymptotic reliability of communication systems over noisy channels.

443

Publications

35.7K

Citations

543

Authors

273

Institutions

Publications per year

2017–2026

58

Authors

543

  1. NM
    Neri Merhav

    Technion – Israel Institute of Technology, Israel

    26 publications · 920 citations

    19

    h-index

  2. AG
    Albert Guillén i Fàbregas

    University of Cambridge, United Kingdom

    17 publications · 586 citations

    13

    h-index

  3. AG
    Alfonso García Martínez

    University of Cambridge, United Kingdom

    12 publications · 492 citations

    11

    h-index

  4. RU
    Rüdiger Urbanke

    École Polytechnique Fédérale de Lausanne, Switzerland

    10 publications · 626 citations

    10

    h-index

  5. MH
    Masahito Hayashi

    Nagoya University, Japan

    10 publications · 455 citations

    10

    h-index

1–5 of 543

Venues

  1. IEEE Transactions on Information Theory

    184 publications · 13.3K citations

    55

    h-index

  2. arXiv (Cornell University)

    Repository · 9 publications · 140 citations

    9

    h-index

  3. IEEE Transactions on Signal Processing

    8 publications · 385 citations

    8

    h-index

  4. IEEE Transactions on Communications

    8 publications · 275 citations

    8

    h-index

  5. IRE Transactions on Communications Systems

    7 publications · 152 citations

    7

    h-index

1–5