Distributed Lossless Compression

Distributed Lossless Compression is a data compression paradigm in which multiple correlated sources are encoded separately without communication, yet decoded jointly to achieve lossless reconstruction by exploiting statistical dependencies across the sources.

25

Publications

1.2K

Citations

66

Authors

41

Institutions

Publications per year

2017–2026

5

Authors

66

  1. BG
    Bernd Girod

    Stanford University, United States

    3 publications · 507 citations

    3

    h-index

  2. MH
    Mi He

    Army Medical University, China

    2 publications · 26 citations

    2

    h-index

  3. MH
    Mohammad Hossein Yassaee

    Sharif University of Technology, Iran

    2 publications · 100 citations

    2

    h-index

  4. JW
    Jianwei Wan

    National University of Defense Technology, China

    2 publications · 26 citations

    2

    h-index

  5. FP
    Fernando Pereira

    Instituto de Telecomunicações, Portugal

    2 publications · 51 citations

    2

    h-index

1–5 of 66

Venues

  1. Signal Processing Image Communication

    3 publications · 37 citations

    3

    h-index

  2. EURASIP Journal on Image and Video Processing

    2 publications · 57 citations

    2

    h-index

  3. arXiv (Cornell University)

    Repository · 2 publications · 24 citations

    2

    h-index

  4. IEEE Transactions on Signal Processing

    1 publications · 19 citations

    1

    h-index

  5. IEEE Transactions on Wireless Communications

    1 publications · 117 citations

    1

    h-index

1–5