Baseline correction using asymmetrically reweighted penalized least squares smoothing.

@article{Baek2015BaselineCU,
  title={Baseline correction using asymmetrically reweighted penalized least squares smoothing.},
  author={Sung-June Baek and Aaron Park and Young-Jin Ahn and Jaebum Choo},
  journal={The Analyst},
  year={2015},
  volume={140 1},
  pages={
          250-7
        }
}
Baseline correction methods based on penalized least squares are successfully applied to various spectral analyses. The methods change the weights iteratively by estimating a baseline. If a signal is below a previously fitted baseline, large weight is given. On the other hand, no weight or small weight is given when a signal is above a fitted baseline as it could be assumed to be a part of the peak. As noise is distributed above the baseline as well as below the baseline, however, it is… 

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