Gaussian Peak Deconvolution
Gaussian Peak Deconvolution is a spectral deconvolution method that separates overlapping spectral peaks by modeling each constituent peak as a Gaussian function and iteratively optimizing their parameters to minimize the residual between the observed spectrum and the reconstructed superposition.
21
Publications
1.4K
Citations
85
Authors
42
Institutions
Publications per year
2017–2026
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University of Gothenburg
Gothenburg, Sweden
2 h-index
5 publications
204 citations

Chinese Academy of Sciences
Beijing, China
2 h-index
7 publications
347 citations
Laboratoire Interdisciplinaire pour la Sociologie Economique
Paris, France
1 h-index
3 publications
66 citations
Sandia National Laboratories California
Livermore, United States
1 h-index
2 publications
80 citations
Los Alamos National Laboratory
Los Alamos, United States
1 h-index
2 publications
80 citations
Center for Integrated Nanotechnologies
Albuquerque, United States
1 h-index
2 publications
80 citations
Jagiellonian University
Krakow, Poland
1 h-index
2 publications
54 citations

TU Wien
Vienna, Austria
1 h-index
4 publications
428 citations
1–8 of 42
2 publications · 73 citations
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2 publications · 83 citations
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1 publications · 22 citations
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1 publications · 50 citations
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JMS · 1 publications · 12 citations
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