Source Coding With Fidelity Criteria

Source Coding with Fidelity Criteria is a theoretical framework within information theory that characterizes the minimum rate at which a source can be encoded and reconstructed under a specified distortion constraint, distinguishing it from lossless source coding by permitting controlled degradation of the output signal in accordance with a fidelity criterion.

67

Publications

9.3K

Citations

86

Authors

51

Institutions

Publications per year

2017–2026

3

Authors

86

  1. RM
    Robert M. Gray

    Stanford University, United States

    10 publications · 905 citations

    10

    h-index

  2. JØ
    Jan Østergaard

    Aalborg University, Denmark

    5 publications · 137 citations

    5

    h-index

  3. JC
    John C. Kieffer

    University of Minnesota, United States

    5 publications · 244 citations

    5

    h-index

  4. DL
    David L. Neuhoff

    University of Michigan, United States

    5 publications · 277 citations

    5

    h-index

  5. TB
    Thomas Berger

    Cornell University, United States

    4 publications · 371 citations

    4

    h-index

1–5 of 86

Venues

  1. IEEE Transactions on Information Theory

    43 publications · 2.9K citations

    29

    h-index

  2. Bell System Technical Journal

    BSTJ · 2 publications · 259 citations

    2

    h-index

  3. 2

    h-index

  4. The Annals of Probability

    2 publications · 53 citations

    2

    h-index

  5. IEEE Transactions on Communications

    1 publications · 43 citations

    1

    h-index

1–5