Mining large Raman spectroscopic data beyond the shot noise limit
Various multivariate chemometric techniques have been proven to be robust in analyzing complex Raman hyperspectral datasets obtained from chemically diverse biological samples for classification, quantification, and exploratory studies. Among various techniques, singular value decomposition (SVD)...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Conference Paper |
| Language: | English |
| Published: |
2020
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/144412 |