Sequential Decoding

Sequential Decoding is a probabilistic decoding algorithm for convolutional codes that belongs to the class of tree-search methods, distinguished by its use of a dynamically explored path metric to sequentially traverse the code tree and identify the most likely transmitted sequence under a constrained computational effort.

259

Publications

19.7K

Citations

510

Authors

232

Institutions

Publications per year

2017–2026

48

Authors

510

  1. DJ
    Daniel J. Costello

    University of Notre Dame, United States

    11 publications · 392 citations

    11

    h-index

  2. DH
    David Haccoun

    Polytechnique Montréal, Canada

    7 publications · 508 citations

    7

    h-index

  3. JH
    J. Hagenauer

    Munich University of Applied Sciences, Germany

    6 publications · 324 citations

    6

    h-index

  4. SK
    Slim Kallel

    University of Sfax, Tunisia

    5 publications · 137 citations

    5

    h-index

  5. MF
    Meir Feder

    Tel Aviv University, Israel

    5 publications · 164 citations

    5

    h-index

1–5 of 510

Venues

  1. IEEE Transactions on Information Theory

    52 publications · 11.9K citations

    28

    h-index

  2. IEEE Transactions on Communications

    35 publications · 1.5K citations

    21

    h-index

  3. IEEE Communications Letters

    8 publications · 248 citations

    8

    h-index

  4. IRE Transactions on Communications Systems

    7 publications · 130 citations

    7

    h-index

  5. IEEE Transactions on Communication Technology

    6 publications · 594 citations

    6

    h-index

1–5