Automatic correction of continuum background in Laser-induced Breakdown Spectroscopy using a model-free algorithm
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[1] Yi-Zeng Liang,et al. An intelligent background-correction algorithm for highly fluorescent samples in Raman spectroscopy , 2010 .
[2] Haibin Yu,et al. Automatic estimation of varying continuum background emission in laser-induced breakdown spectroscopy , 2009 .
[3] Leon J. Radziemski,et al. Handbook of Laser-Induced Breakdown Spectroscopy , 2006 .
[4] M. Friedrichs. A model-free algorithm for the removal of baseline artifacts , 1995, Journal of biomolecular NMR.
[5] Pavel Yaroshchyk,et al. Quantitative Measurements of Loss on Ignition in Iron Ore Using Laser-Induced Breakdown Spectroscopy and Partial Least Squares Regression Analysis , 2010, Applied spectroscopy.
[6] Golotvin,et al. Improved baseline recognition and modeling of FT NMR spectra , 2000, Journal of magnetic resonance.
[7] E. H. van Veen,et al. Application of mathematical procedures to background correction and multivariate analysis in inductively coupled plasma-optical emission spectrometry , 1998 .
[8] Jagdish P. Singh,et al. Laser-induced breakdown spectroscopy , 2007 .
[9] Andrew Jirasek,et al. Investigation of Selected Baseline Removal Techniques as Candidates for Automated Implementation , 2005, Applied spectroscopy.
[10] Israel Schechter,et al. Laser-induced breakdown spectroscopy (LIBS) : fundamentals and applications , 2006 .
[11] Steven J. Spencer,et al. Comparison of principal components regression, partial least squares regression, multi-block partial least squares regression, and serial partial least squares regression algorithms for the analysis of Fe in iron ore using LIBS , 2012 .