Chemometric sorting based on laser-induced plume fluorescence: characterization of spectral noise for effective preprocessing

Abstract

Single-shot laser-induced plume fluorescence spectra can be effectively denoised for clean unsupervised PCA sorting.

Discrimination of rocks by laser-induced breakdown spectroscopy combined with Random Forest (RF)

“…34 The common methods used to pretreat data include wavelet transform, derivative, multivariate scattering correction, normalization, etc. [35][36][37] In this work, the outliers were rst processed, that is, the spectral lines whose intensity value was less than 0 in the spectrum were replaced by 0. Then, aer analysing the original full spectrum of rock samples in Fig.…”

Atomic spectrometry update: review of advances in atomic spectrometry and related techniques

“…Vacuum UV LIF of plumes is considered as an ideal technique for minimally destructive multielement analysis. De-noising is a key process that was investigated by Cheung, 116 using a pre-processing scheme that involved three steps: rejection of dim, featureless spectra as outliers; removal of a wobbly baseline by mean subtraction; and reduction of fluctuations by normalising the spectral area to a constant. Signal uncertainty was reduced from 54 to 6.5% and clean sorting of ink samples based on single-shot spectra was demonstrated.…”