Optimization and quantification of the systematic effects of a rolling circle filter for spectral pre-processing.
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ID: 113545
2019
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Abstract
Spectral pre-processing, especially baseline approximation, is a crucial part in quantitative spectroscopic applications, such as Raman or FTIR spectroscopy. Filters used for this task need to be optimized for their application, in order to achieve a sufficient baseline approximation while minimizing the distortion of the spectral lines. We propose a combined method that optimizes a rolling circle filter and quantifies the residual systematic influence on the spectral lines by a Monte Carlo approach that simulates and subsequently analyses spectra with known line properties and known maximum baseline curvature.
| Reference Key |
kraus2019theoptimization
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| Authors | Sebastian Mirz,Robin Grössle,Alexander Kraus;Sebastian Mirz;Robin Grössle;Alexander Kraus; |
| Journal | The Analyst |
| Year | 2019 |
| DOI |
10.1039/c8an02476f
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| URL | |
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