Additive Noise

Additive Noise is a type of sensor noise characterized by being superimposed linearly onto the measured signal, distinguished from other noise forms by its independence from the signal amplitude and its additive rather than multiplicative relationship with the true signal.

5.2K

Publications

344.6K

Citations

9.8K

Authors

2.5K

Institutions

Publications per year

2017–2026

839

Authors

9.8K

  1. GB
    Georgios B. Giannakis

    University of Minnesota, United States

    34 publications · 2.1K citations

    22

    h-index

  2. HV
    H. Vincent Poor

    Princeton University, United States

    21 publications · 1.9K citations

    16

    h-index

  3. SV
    Sergio Verdú

    Princeton University, United States

    19 publications · 3.6K citations

    16

    h-index

  4. SS
    Shlomo Shamai

    Technion – Israel Institute of Technology, Israel

    18 publications · 2.2K citations

    15

    h-index

  5. AL
    Amos Lapidoth

    ETH Zurich, Switzerland

    17 publications · 2K citations

    15

    h-index

1–5 of 9.8K

Venues

  1. IEEE Transactions on Information Theory

    299 publications · 32.6K citations

    87

    h-index

  2. IEEE Transactions on Signal Processing

    284 publications · 20.5K citations

    75

    h-index

  3. IEEE Transactions on Image Processing

    91 publications · 27K citations

    52

    h-index

  4. IEEE Transactions on Communications

    160 publications · 7.7K citations

    49

    h-index

  5. 41

    h-index

1–5