Investigation of selected baseline removal techniques as candidates for automated implementation.

@article{Schulze2005InvestigationOS,
  title={Investigation of selected baseline removal techniques as candidates for automated implementation.},
  author={Georg Schulze and Andrew I. Jirasek and Marcia M. L. Yu and Arnel Lim and Robin F B Turner and Michael W. Blades},
  journal={Applied spectroscopy},
  year={2005},
  volume={59 5},
  pages={545-74}
}
Observed spectra normally contain spurious features along with those of interest and it is common practice to employ one of several available algorithms to remove the unwanted components. Low frequency spurious components are often referred to as 'baseline', 'background', and/or 'background noise'. Here we examine a cross-section of non-instrumental methods designed to remove background features from spectra; the particular methods considered here represent approaches with different theoretical… CONTINUE READING