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
Parents
135
1–5 of 135
419
3
h-index
2
h-index
2
h-index
2
h-index
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
221

Odense University Hospital
Odense, Denmark
3 h-index
4 publications
409 citations

University of Manchester
Manchester, United Kingdom
2 h-index
4 publications
66 citations

Delft University of Technology
Delft, The Netherlands
2 h-index
3 publications
82 citations
California Institute of Technology
Pasadena, United States
2 h-index
2 publications
73 citations

United States Naval Research Laboratory
Washington, United States
2 h-index
5 publications
69 citations
Observatoire de la Côte d’Azur
Nice, France
2 h-index
4 publications
144 citations
University of Florence
Florence, Italy
2 h-index
4 publications
131 citations

La Rochelle Université
La Rochelle, France
2 h-index
2 publications
347 citations
1–8 of 221
ApJ · 5 publications · 266 citations
5
h-index
4 publications · 231 citations
4
h-index
MRM · 3 publications · 73 citations
3
h-index
TLE · 3 publications · 47 citations
3
h-index
3 publications · 35 citations
3
h-index
1–5