Variable-length Coding

Variable-Length Coding is a source coding technique in lossless data compression where symbols from a source alphabet are mapped to codewords of varying lengths, typically assigning shorter codewords to more probable symbols to achieve efficient entropy-based compression.

575

Publications

27K

Citations

1.2K

Authors

432

Institutions

Publications per year

2017–2026

60

Authors

1.2K

  1. SV
    Sergio Verdú

    Princeton University, United States

    10 publications · 740 citations

    10

    h-index

  2. JV
    John Villasenor

    University of California, Los Angeles, United States

    9 publications · 413 citations

    9

    h-index

  3. HY
    H. Yamamoto

    The University of Tokyo, Japan

    9 publications · 232 citations

    9

    h-index

  4. SA
    Serap A. Savari

    Texas A&M University, United States

    8 publications · 247 citations

    8

    h-index

  5. PD
    Pierre Duhamel

    Centre National de la Recherche Scientifique, France

    7 publications · 110 citations

    7

    h-index

1–5 of 1.2K

Venues

  1. IEEE Transactions on Information Theory

    91 publications · 8K citations

    33

    h-index

  2. 19

    h-index

  3. IEEE Transactions on Communications

    33 publications · 1.4K citations

    18

    h-index

  4. IEEE Transactions on Consumer Electronics

    10 publications · 380 citations

    10

    h-index

  5. Communications of the ACM

    9 publications · 978 citations

    9

    h-index

1–5