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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...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
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 |