Sensor Noise Analysis

Sensor Noise Analysis is a systematic method for characterizing and quantifying the unwanted signal variations in sensor outputs that arise from intrinsic and extrinsic sources, distinguishing it from general signal analysis by focusing specifically on the statistical properties, origins, and mitigation of noise within sensor data acquisition systems.

482

Publications

22.9K

Citations

1.6K

Authors

585

Institutions

Publications per year

2017–2026

114

Authors

1.6K

  1. CL
    Chang‐Tsun Li

    University of Warwick, United Kingdom

    9 publications · 661 citations

    9

    h-index

  2. VA
    Vadim Agafonov

    Moscow Institute of Physics and Technology, Russia

    4 publications · 113 citations

    4

    h-index

  3. JC
    John Clarke

    Lawrence Berkeley National Laboratory, United States

    3 publications · 150 citations

    3

    h-index

  4. JF
    Jessica Fridrich

    Binghamton University, United States

    3 publications · 315 citations

    3

    h-index

  5. MG
    Michel Grédiac

    Université Clermont Auvergne, France

    3 publications · 105 citations

    3

    h-index

1–5 of 1.6K

Venues

  1. Sensors

    18 publications · 537 citations

    15

    h-index

  2. IEEE Sensors Journal

    12 publications · 459 citations

    12

    h-index

  3. 11

    h-index

  4. Sensors and Actuators A Physical

    8 publications · 186 citations

    8

    h-index

  5. 7

    h-index

1–5