Multivariate models for data library transfer in laser spectroscopy

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26620%2F19%3APU135025" target="_blank" >RIV/00216305:26620/19:PU135025 - isvavai.cz</a>
Result on the web
<a href="http://libs.ceitec.cz/files/281/213.pdf" target="_blank" >http://libs.ceitec.cz/files/281/213.pdf</a>
DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Multivariate models for data library transfer in laser spectroscopy
Original language description
czLaser-Induced Breakdown Spectroscopy (LIBS) serves as an exceptional platform for a fastsample analysis. Detected laser-induced plasma (LIP) spectrum is composed of uniqueinformation (i.e. chemical fingerprint) characterizing the sample from which it originates. Atypical LIBS analysis, obtained with applying repetition rate, results in a great number ofmeasurements (spectra). The size of the data matrix is intensified by the number of variablescarried by each LIP spectrum. Therefore, the processing of given data matrix calls forsophisticated statistical algorithms. Chemometric (or Multivariate Data Analysis; MVDA)algorithms are becoming an inevitable part of the spectroscopic analysis [1]. A successfulMVDA implementation is based on the well-balanced data pre-processing (outlier filtering,signal standardization, variable down-selection, etc.). First and the most common step is thedimensionality reduction and data visualization. This is consecutively followed by the modelcreation, further classificat
Czech name
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Czech description
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Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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