SVD-aided non-orthogonal decomposition (SANOD) method to exploit prior knowledge of spectral components in the analysis of time-resolved data

Analysis of time-resolved data typically involves discriminating noise against the signal and extracting time-independent components and their time-dependent contributions. Singular value decomposition (SVD) serves this purpose well, but the extracted time-independent components are not necessarily...

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Detalles Bibliográficos
Autores principales: Ki, H., Lee, Y., Choi, E. H., Lee, S., Ihee, H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Crystallographic Association 2019
Materias:
ARTICLES
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6435371/
https://www.ncbi.nlm.nih.gov/pubmed/30931347
http://dx.doi.org/10.1063/1.5085864

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6435371/
https://www.ncbi.nlm.nih.gov/pubmed/30931347
http://dx.doi.org/10.1063/1.5085864

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