Background Deconvolution

Background Deconvolution is a computational method designed to isolate and remove ambient or non-target signal contributions from observed data by mathematically inverting the underlying mixing process, thereby recovering the true source signal with enhanced specificity and accuracy.

135

Publications

6.1K

Citations

419

Authors

221

Institutions

Publications per year

2017–2026

21

Authors

419

  1. ST
    S. Tougaard

    University of Southern Denmark, Denmark

    3 publications · 379 citations

    3

    h-index

  2. TB
    Thierry Bouwmans

    La Rochelle Université, France

    2 publications · 347 citations

    2

    h-index

  3. BG
    Belmar García-García

    La Rochelle Université, France

    2 publications · 347 citations

    2

    h-index

  4. GA
    Gareth A. Morris

    University of Manchester, United Kingdom

    2 publications · 75 citations

    2

    h-index

  5. DM
    D. Margarone

    FZU ‒ Institute of Physics of the Academy of Sciences of the Czech Republic, Czechia

    1 publications · 17 citations

    1

    h-index

1–5 of 419

Venues

  1. The Astrophysical Journal

    ApJ · 5 publications · 266 citations

    5

    h-index

  2. The Journal of Chemical Physics

    4 publications · 231 citations

    4

    h-index

  3. Magnetic Resonance in Medicine

    MRM · 3 publications · 73 citations

    3

    h-index

  4. The Leading Edge

    TLE · 3 publications · 47 citations

    3

    h-index

  5. 3

    h-index

1–5