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

3

Authors

85

  1. CS
    Christer Sundqvist

    University of Gothenburg, Sweden

    2 publications · 77 citations

    2

    h-index

  2. FS
    Frances Separovic

    The University of Melbourne, Australia

    1 publications · 461 citations

    1

    h-index

  3. XW
    Xiaojie Wang

    Chinese Academy of Sciences, China

    1 publications · 107 citations

    1

    h-index

  4. CL
    Chongmu Lee

    Inha University, South Korea

    1 publications · 11 citations

    1

    h-index

  5. FY
    Fen Ye

    Tongji University, China

    1 publications · 40 citations

    1

    h-index

1–5 of 85

Venues

  1. Journal of Thermal Analysis and Calorimetry

    2 publications · 73 citations

    2

    h-index

  2. Journal of Chromatography A

    2 publications · 83 citations

    2

    h-index

  3. Plasma Processes and Polymers

    1 publications · 22 citations

    1

    h-index

  4. Physiologia Plantarum

    1 publications · 50 citations

    1

    h-index

  5. Journal of Microcolumn Separations

    JMS · 1 publications · 12 citations

    1

    h-index

1–5