Wyner-ziv Coding

Wyner-Ziv Coding is a method in lossy data compression that enables efficient source coding with side information available only at the decoder, distinguishing itself from other source coding techniques by exploiting statistical dependencies between the source and the decoder-side information without requiring encoder access to the side information.

344

Publications

17.7K

Citations

461

Authors

211

Institutions

Publications per year

2017–2026

8

Authors

461

  1. BG
    Bernd Girod

    Stanford University, United States

    23 publications · 3.2K citations

    19

    h-index

  2. FP
    Fernando Pereira

    Instituto de Telecomunicações, Portugal

    28 publications · 1.8K citations

    18

    h-index

  3. ZX
    Zixiang Xiong

    Texas A&M University, United States

    23 publications · 1.5K citations

    16

    h-index

  4. JA
    João Ascenso

    Instituto de Telecomunicações, Portugal

    21 publications · 1.4K citations

    16

    h-index

  5. CB
    Catarina Brites

    Instituto de Telecomunicações, Portugal

    21 publications · 1.6K citations

    16

    h-index

1–5 of 461

Venues

  1. IEEE Transactions on Information Theory

    50 publications · 3.9K citations

    35

    h-index

  2. 16

    h-index

  3. 12

    h-index

  4. IEEE Transactions on Image Processing

    11 publications · 670 citations

    11

    h-index

  5. IEEE Transactions on Communications

    9 publications · 250 citations

    9

    h-index

1–5