Variable-rate Source Coding

Variable-Rate Source Coding is a source coding method in information theory that belongs to the class of rate-distortion coding techniques and is distinguished by its ability to adaptively adjust the coding rate based on the source statistics or distortion constraints to achieve optimal compression efficiency.

58

Publications

4.2K

Citations

116

Authors

63

Institutions

Publications per year

2017–2026

3

Authors

116

  1. RM
    Robert M. Gray

    Stanford University, United States

    4 publications · 739 citations

    4

    h-index

  2. PA
    Philip A. Chou

    Microsoft (United States), United States

    4 publications · 710 citations

    4

    h-index

  3. ME
    Michelle Effros

    California Institute of Technology, United States

    4 publications · 187 citations

    4

    h-index

  4. TL
    T. Lookabaugh

    Stanford University, United States

    3 publications · 677 citations

    3

    h-index

  5. NM
    Neri Merhav

    Technion – Israel Institute of Technology, Israel

    3 publications · 45 citations

    3

    h-index

1–5 of 116

Venues

  1. IEEE Transactions on Information Theory

    20 publications · 1K citations

    17

    h-index

  2. 3

    h-index

  3. IEEE Transactions on Image Processing

    3 publications · 87 citations

    3

    h-index

  4. IEEE/ACM Transactions on Networking

    TON · 2 publications · 103 citations

    2

    h-index

  5. Bell System Technical Journal

    BSTJ · 2 publications · 102 citations

    2

    h-index

1–5