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A Hybrid Least Squares and Principal Component Analysis Algorithm for Raman Spectroscopy
The least squares fitting algorithm is the most commonly used algorithm in Raman spectroscopy. In this paper, however, we show that it is sensitive to variations in the background signal when the signal of interest is weak. To address this problem, we propose a novel algorithm to analyze measured sp...
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| Главные авторы: | , , , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
2011
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4151637/ https://ncbi.nlm.nih.gov/pubmed/22255942 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/IEMBS.2011.6091762 |
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