Quantization Noise

Quantization Noise is the error introduced during the process of quantization, specifically the difference between the original continuous or high-precision signal values and their discretized or lower-precision representations, arising as a form of distortion inherent to lossy data compression and exacerbated by sensor noise in digital signal acquisition.

1.3K

Publications

79.1K

Citations

3K

Authors

837

Institutions

Publications per year

2017–2026

271

Authors

3K

  1. RM
    Robert M. Gray

    Stanford University, United States

    15 publications · 3.6K citations

    15

    h-index

  2. IG
    Ian Galton

    University of California San Diego, United States

    15 publications · 921 citations

    14

    h-index

  3. GC
    Gábor C. Temes

    Oregon State University, United States

    18 publications · 635 citations

    14

    h-index

  4. ZW
    Zhihua Wang

    Tsinghua University, China

    12 publications · 284 citations

    12

    h-index

  5. MH
    Michael H. Perrott

    Massachusetts Institute of Technology, United States

    12 publications · 1.3K citations

    11

    h-index

1–5 of 3K

Venues

  1. IEEE Journal of Solid-State Circuits

    92 publications · 6.4K citations

    47

    h-index

  2. IEEE Transactions on Signal Processing

    67 publications · 4.3K citations

    34

    h-index

  3. IEEE Transactions on Information Theory

    44 publications · 20.5K citations

    30

    h-index

  4. 24

    h-index

  5. 23

    h-index

1–5