Lloyd-max Quantization

Lloyd-Max Quantization is a scalar quantization method that minimizes the mean squared error between a continuous signal and its quantized representation by optimally placing quantization levels and decision thresholds under the constraint of fixed bit-rate.

58

Publications

2.5K

Citations

119

Authors

63

Institutions

Publications per year

2017–2026

6

Variants

Lloyd-max Algorithm

Authors

119

  1. ZP
    Zoran Perić

    University of Nis, Serbia

    3 publications · 98 citations

    3

    h-index

  2. NF
    N. Farvardin

    University of Maryland, College Park, United States

    3 publications · 462 citations

    3

    h-index

  3. PL
    Ping Li

    Zhejiang University, China

    2 publications · 24 citations

    2

    h-index

  4. DG
    Daniel González-Jiménez

    Universidade de Vigo, Spain

    2 publications · 87 citations

    2

    h-index

  5. DT
    Dimitrios Tzovaras

    Information Technologies Institute, Greece

    2 publications · 27 citations

    2

    h-index

1–5 of 119

Venues

  1. IEEE Transactions on Information Theory

    12 publications · 1.1K citations

    11

    h-index

  2. IEEE Transactions on Image Processing

    4 publications · 96 citations

    4

    h-index

  3. IEEE Transactions on Communications

    3 publications · 80 citations

    3

    h-index

  4. Informatica

    3 publications · 98 citations

    3

    h-index

  5. IEEE Transactions on Signal Processing

    3 publications · 118 citations

    3

    h-index

1–5