Quantization Theory

Quantization Theory is a mathematical framework within information theory that characterizes the optimal trade-off between the rate of data representation and the distortion introduced by quantizing continuous signals into discrete levels.

474

Publications

47.3K

Citations

739

Authors

374

Institutions

Publications per year

2017–2026

33

Authors

739

  1. RM
    Robert M. Gray

    Stanford University, United States

    9 publications · 2.4K citations

    9

    h-index

  2. GP
    Gilles Pagès

    Laboratoire de Probabilités et Modèles Aléatoires, France

    8 publications · 628 citations

    8

    h-index

  3. JB
    J.A. Bucklew

    University of Wisconsin–Madison, United States

    7 publications · 373 citations

    7

    h-index

  4. NC
    Neal C. Gallagher

    Purdue University West Lafayette, United States

    6 publications · 175 citations

    6

    h-index

  5. NS
    Nir Shlezinger

    Ben-Gurion University of the Negev, Israel

    6 publications · 538 citations

    6

    h-index

1–5 of 739

Venues

  1. IEEE Transactions on Information Theory

    57 publications · 23.8K citations

    31

    h-index

  2. IRE Transactions on Communications Systems

    15 publications · 1.7K citations

    14

    h-index

  3. Journal of Mathematical Physics

    11 publications · 451 citations

    11

    h-index

  4. Communications in Mathematical Physics

    13 publications · 1.3K citations

    11

    h-index

  5. IEEE Transactions on Communications

    10 publications · 641 citations

    10

    h-index

1–5