Altaxo.Science.Spectroscopy.BaselineEvaluation Namespace |
[Missing <summary> documentation for "N:Altaxo.Science.Spectroscopy.BaselineEvaluation"]
Classes | Class | Description |
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| AirPLS |
Implements the adaptive iteratively reweighted penalized least squares algorithm proposed by Zhang et al [1].
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| AirPLSSerializationSurrogate0 | |
| ALS |
Implements the Asymmetric Least Squares method for baseline estimation, proposed by Eilers and Boelens 2005 [1].
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| ALSSerializationSurrogate0 | |
| ArPLS |
Implements the asymmetrically reweighted penalized least squares algorithm proposed by Baek et al [1].
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| ArPLSSerializationSurrogate0 | |
| ISREA |
This class detrends a spectrum. This is done by fitting a smoothing spline through the spectrum.
Then the spectral data that lies above the spline are reduced in amplitude toward the spline.
The process is repeated until the resulting curve changes no more.
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| ISREASerializationSurrogate0 |
2024-04-16 V0 initial version.
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| PolynomialDetrending |
This class detrends all spectra. This is done by fitting a polynomial to the spectrum (x value is simply the index of data point), and then
subtracting the fit curve from the spectrum.
The degree of the polynomial can be choosen between 0 (the mean is subtracted), 1 (a fitted straight line is subtracted).
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| PolynomialDetrendingSerializationSurrogate0 | |
| SNIP_Linear |
Interface to all baseline evaluation algorithms for simple (1D) spectra.
In contrast to IBaselineEstimation which evaluates and then subtracts the baseline,
IBaselineEvaluation really evaluates the baseline, that is, the output is the baseline itself.
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| SNIP_LinearSerializationSurrogate0 | |
| SNIP_LogLog |
Interface to all baseline evaluation algorithms for simple (1D) spectra.
In contrast to IBaselineEstimation which evaluates and then subtracts the baseline,
IBaselineEvaluation really evaluates the baseline, that is, the output is the baseline itself.
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| SNIP_LogLogSerializationSurrogate0 | |
| SSProb |
This class detrends a spectrum. This is done by fitting a smoothing spline through the spectrum.
Then the spectral data that lies significantly above the spline are excluded from the spline.
The process is repeated until the resulting curve changes no more.
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| SSProbSerializationSurrogate0 |
2024-04-16 V0 initial version.
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| XToXLine |
Interface to all baseline evaluation algorithms for simple (1D) spectra.
In contrast to IBaselineEstimation which evaluates and then subtracts the baseline,
IBaselineEvaluation really evaluates the baseline, that is, the output is the baseline itself.
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Interfaces | Interface | Description |
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| IBaselineEvaluation |
Interface to all baseline evaluation algorithms for simple (1D) spectra.
In contrast to IBaselineEstimation which evaluates and then subtracts the baseline,
IBaselineEvaluation really evaluates the baseline, that is, the output is the baseline itself.
|