Entropy In Error Correction

Entropy in Error Correction is a theoretical framework in information theory that quantifies the uncertainty or randomness inherent in error patterns within communication systems to optimize the efficiency and reliability of error-correcting codes.

11

Publications

801

Citations

26

Authors

24

Institutions

Publications per year

2017–2026

5

Parents

Authors

26

  1. RR
    Renato Renner

    ETH Zurich, Switzerland

    2 publications · 145 citations

    2

    h-index

  2. MM
    Mark M. Wilde

    Louisiana State University, United States

    2 publications · 145 citations

    2

    h-index

  3. MJ
    Marius Junge

    University of Illinois Urbana-Champaign, United States

    2 publications · 145 citations

    2

    h-index

  4. DS
    David Sutter

    ETH Zurich, Switzerland

    2 publications · 145 citations

    2

    h-index

  5. AW
    Andreas Winter

    University of Bristol, United Kingdom

    2 publications · 145 citations

    2

    h-index

1–5 of 26

Venues

  1. Entropy

    1 publications · 26 citations

    1

    h-index

  2. 1

    h-index

  3. Journal of High Energy Physics

    JHEP · 1 publications · 131 citations

    1

    h-index

  4. arXiv (Cornell University)

    Repository · 1 publications · 39 citations

    1

    h-index

  5. Civil War Book Review

    1 publications · 106 citations

    1

    h-index

1–5