Sensor Noise Filtering

Sensor Noise Filtering is a signal processing technique that belongs to the class of methods used in sensor interfacing, specifically designed to attenuate unwanted disturbances and artifacts in sensor data while preserving the integrity of the underlying physical signal.

66

Publications

2.5K

Citations

214

Authors

111

Institutions

Publications per year

2017–2026

32

Authors

214

  1. DR
    Dedy Rahman Wijaya

    Telkom University, Indonesia

    2 publications · 175 citations

    2

    h-index

  2. SB
    Sebastiano Battiato

    University of Catania, Italy

    2 publications · 45 citations

    2

    h-index

  3. RI
    Rio Ikhsan Alfian

    Universitas Ahmad Dahlan, Indonesia

    2 publications · 120 citations

    2

    h-index

  4. GO
    Garrick Orchard

    National University of Singapore, Singapore

    2 publications · 147 citations

    2

    h-index

  5. WH
    Wilmar Hernández

    Universidad Politécnica de Madrid, Spain

    2 publications · 55 citations

    2

    h-index

1–5 of 214

Venues

  1. IEEE Sensors Journal

    4 publications · 149 citations

    4

    h-index

  2. Sensors

    3 publications · 73 citations

    3

    h-index

  3. IEEE Access

    2 publications · 114 citations

    2

    h-index

  4. 2

    h-index

  5. 2

    h-index

1–5