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POŘÍZKA, P. MODLITBOVÁ, P. KÉPEŠ, E. VRÁBEL, J. PROCHAZKA, D. KAISER, J.
Original Title
On the processing of big laser spectroscopy data; the issue of dimensionality reduction
Type
conference proceedings
Language
English
Original Abstract
The state-of-the-art laser-ablation based spectroscopic instruments provide data sets increasing in size, number of objects (spectra) and variables (wavelengths). In this work, we focus namely on the Laser-Induced Breakdown Spectroscopy (LIBS) technique. However, the presented algorithms are applicable also for the processing of data obtained using other optical emission spectroscopic techniques and even mass spec techniques. Typically, the data sets are overloaded with information, analytically relevant as well as redundant, e.g. originating from noise and background.
Keywords
LIBS; biologic samples; data processing; principal component analysis; self-organizing maps
Authors
POŘÍZKA, P.; MODLITBOVÁ, P.; KÉPEŠ, E.; VRÁBEL, J.; PROCHAZKA, D.; KAISER, J.
Released
9. 6. 2019
Pages from
126
Pages to
Pages count
388
BibTex
@proceedings{BUT159116, editor="Pavel {Pořízka} and Pavlína {Modlitbová} and Erik {Képeš} and Jakub {Vrábel} and David {Prochazka} and Jozef {Kaiser}", title="On the processing of big laser spectroscopy data; the issue of dimensionality reduction", year="2019", pages="126--126" }