@article {Premoli:1989:0003-7028:558,
	author = "Premoli, Amedeo and Rastello, Maria Luisa",
	title = "A Mixed Linear/Nonlinear Least-Squares Method for Determining Line Parameters from Noisy Spectra",
	journal = "Applied Spectroscopy",
	volume = "43",
	number = "3",
	year = "1989",
	abstract = "The determination of the parameters characterizing line profiles embedded in a noisy spectrum is an important task in IR and Raman spectroscopy. A direct analysis from an inspection of the spectrum is often difficult in the presence of overlapped profiles and/or considerable back-ground. This paper presents an algorithm based on alternate stages of linear and nonlinear optimization for extracting Lorentzians or Gaussians from the measured data, taking into account the presence of a frequency-dependent background superimposed onto white noise. The analysis of several experimental spectra shows the capability of the algorithm in discriminating noisy and partially overlapped profiles.",
	pages = "558-566",
	url = "http://www.ingentaconnect.com/content/sas/sas/1989/00000043/00000003/art00033",
	doi = "doi:10.1366/0003702894202805",
	keyword = "Line fitting, Spectroscopic techniques, Computer applications"
}