Preclassification of Broadband and Sparse Infrared Data by Multiplicative Signal Correction Approach

Preclassification of raw infrared spectra has often been neglected in scientific literature. Separating spectra of low spectral quality, due to low signal-to-noise ratio, presence of artifacts, and low analyte presence, is crucial for accurate model development. Furthermore, it is very important for...

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Detalles Bibliográficos
Autores principales: Rehman, Hafeez Ur, Tafintseva, Valeria, Zimmermann, Boris, Solheim, Johanne Heitmann, Virtanen, Vesa, Shaikh, Rubina, Nippolainen, Ervin, Afara, Isaac, Saarakkala, Simo, Rieppo, Lassi, Krebs, Patrick, Fomina, Polina, Mizaikoff, Boris, Kohler, Achim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9000438/
https://www.ncbi.nlm.nih.gov/pubmed/35408697
http://dx.doi.org/10.3390/molecules27072298

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9000438/
https://www.ncbi.nlm.nih.gov/pubmed/35408697
http://dx.doi.org/10.3390/molecules27072298

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