Syndrome Decoding

Syndrome Decoding is a method in error-correcting codes that identifies and corrects errors in a received codeword by computing its syndrome—a unique vector derived from the parity-check matrix—and mapping it to the most probable error pattern under the assumption of minimum distance decoding.

174

Publications

6.9K

Citations

353

Authors

207

Institutions

Publications per year

2017–2026

37

Authors

353

  1. TT
    Trieu‐Kien Truong

    I-Shou University, Taiwan

    11 publications · 450 citations

    11

    h-index

  2. PG
    Philippe Gaborit

    Université de Limoges, France

    8 publications · 450 citations

    8

    h-index

  3. KT
    K.K. Tzeng

    Lehigh University, United States

    5 publications · 152 citations

    5

    h-index

  4. YC
    Yan‐Haw Chen

    I-Shou University, Taiwan

    4 publications · 82 citations

    4

    h-index

  5. CG
    C.N. Georghiades

    Texas A&M University, United States

    4 publications · 816 citations

    4

    h-index

1–5 of 353

Venues

  1. IEEE Transactions on Information Theory

    40 publications · 1.9K citations

    24

    h-index

  2. IEEE Transactions on Communications

    13 publications · 500 citations

    11

    h-index

  3. IEEE Communications Letters

    8 publications · 926 citations

    8

    h-index

  4. IEEE Transactions on Signal Processing

    6 publications · 308 citations

    6

    h-index

  5. IEEE Transactions on Computers

    5 publications · 145 citations

    5

    h-index

1–5