Error Exponent Analysis

Error Exponent Analysis is a theoretical framework in finite blocklength information theory that characterizes the exponential decay rate of error probabilities with increasing block length, distinguishing itself by quantifying the trade-off between communication reliability, transmission rate, and coding complexity under finite constraints.

331

Publications

15.3K

Citations

434

Authors

225

Institutions

Publications per year

2017–2026

57

Authors

434

  1. NM
    Neri Merhav

    Technion – Israel Institute of Technology, Israel

    20 publications · 572 citations

    14

    h-index

  2. AG
    Albert Guillén i Fàbregas

    University of Cambridge, United Kingdom

    11 publications · 385 citations

    11

    h-index

  3. LT
    Lang Tong

    Cornell University, United States

    10 publications · 527 citations

    10

    h-index

  4. RU
    Rüdiger Urbanke

    École Polytechnique Fédérale de Lausanne, Switzerland

    8 publications · 553 citations

    8

    h-index

  5. MH
    Masahito Hayashi

    Nagoya University, Japan

    7 publications · 316 citations

    7

    h-index

1–5 of 434

Venues

  1. IEEE Transactions on Information Theory

    142 publications · 8K citations

    48

    h-index

  2. IEEE Transactions on Signal Processing

    15 publications · 762 citations

    14

    h-index

  3. IEEE Transactions on Communications

    11 publications · 296 citations

    11

    h-index

  4. arXiv (Cornell University)

    Repository · 8 publications · 194 citations

    8

    h-index

  5. Physical Review A

    PRA · 5 publications · 593 citations

    5

    h-index

1–5