Signal Averaging

Signal Averaging is a signal processing technique that reduces random noise in measurements by computing the arithmetic mean of multiple repeated observations of a signal, thereby enhancing the signal-to-noise ratio while preserving deterministic signal components.

716

Publications

68.3K

Citations

2.2K

Authors

792

Institutions

Publications per year

2017–2026

80

Authors

2.2K

  1. EJ
    Edward J. Berbari

    University of Oklahoma Health Sciences Center, United States

    10 publications · 409 citations

    10

    h-index

  2. AB
    Axel Bauer

    Innsbruck Medical University, Austria

    9 publications · 610 citations

    9

    h-index

  3. JA
    J. Anthony Gomes

    Icahn School of Medicine at Mount Sinai, United States

    8 publications · 457 citations

    8

    h-index

  4. GS
    Georg Schmidt

    Technical University of Munich, Germany

    7 publications · 587 citations

    7

    h-index

  5. JS
    J. Schoukens

    Vrije Universiteit Brussel, Belgium

    5 publications · 213 citations

    5

    h-index

1–5 of 2.2K

Venues

  1. IEEE Transactions on Biomedical Engineering

    34 publications · 1.6K citations

    22

    h-index

  2. Magnetic Resonance in Medicine

    MRM · 25 publications · 1.7K citations

    19

    h-index

  3. Analytical Chemistry

    19 publications · 753 citations

    17

    h-index

  4. Review of Scientific Instruments

    26 publications · 765 citations

    17

    h-index

  5. PubMed

    Repository · 15 publications · 447 citations

    13

    h-index

1–5