Channel-optimized Source Coding

Channel-Optimized Source Coding is a source coding framework that belongs to the class of joint source-channel coding methods, distinguished by its explicit optimization of the source encoding process to match the characteristics and constraints of a specific communication channel.

15

Publications

628

Citations

42

Authors

29

Institutions

Publications per year

2017–2026

0

Variants

Cosc

Authors

42

  1. NF
    N. Farvardin

    University of Maryland, College Park, United States

    2 publications · 328 citations

    2

    h-index

  2. KR
    Kannan Ramchandran

    University of California, Berkeley, United States

    2 publications · 73 citations

    2

    h-index

  3. JJ
    Jong J. Chae

    University of California, Santa Barbara, United States

    1 publications · 34 citations

    1

    h-index

  4. OH
    Olivier Haeberlé

    Université de Haute-Alsace, France

    1 publications · 18 citations

    1

    h-index

  5. KH
    K.-P. Ho

    National Taiwan University, Taiwan

    1 publications · 11 citations

    1

    h-index

1–5 of 42

Venues

  1. IEEE Transactions on Communications

    3 publications · 134 citations

    3

    h-index

  2. IEEE Transactions on Signal Processing

    2 publications · 68 citations

    2

    h-index

  3. 1

    h-index

  4. IEEE Communications Letters

    1 publications · 15 citations

    1

    h-index

  5. Signal Processing Image Communication

    1 publications · 18 citations

    1

    h-index

1–5