Source-channel Coding Over Networks

Source-Channel Coding Over Networks is a theoretical framework in information theory that integrates source and channel coding for multi-user communication networks by characterizing the fundamental limits of reliable transmission when joint encoding and decoding across sources and channels are optimized simultaneously, in contrast to traditional separation-based approaches.

51

Publications

1.3K

Citations

111

Authors

70

Institutions

Publications per year

2017–2026

6

Variants

Network Joint Source-channel Coding

Authors

111

  1. MG
    Michael Gastpar

    University of California, Berkeley, United States

    3 publications · 62 citations

    3

    h-index

  2. TP
    Todd P. Coleman

    University of California San Diego, United States

    2 publications · 28 citations

    2

    h-index

  3. MR
    Matthieu R. Bloch

    Georgia Institute of Technology, United States

    2 publications · 30 citations

    2

    h-index

  4. KR
    Kannan Ramchandran

    University of California, Berkeley, United States

    2 publications · 28 citations

    2

    h-index

  5. EM
    Emin Martinian

    Massachusetts Institute of Technology, United States

    2 publications · 28 citations

    2

    h-index

1–5 of 111

Venues

  1. IEEE Transactions on Information Theory

    5 publications · 227 citations

    5

    h-index

  2. 2

    h-index

  3. IEEE Transactions on Multimedia

    2 publications · 45 citations

    2

    h-index

  4. IEEE Transactions on Wireless Communications

    2 publications · 27 citations

    2

    h-index

  5. IEEE Transactions on Image Processing

    2 publications · 26 citations

    2

    h-index

1–5