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Altaxo.Science.Spectroscopy.BaselineEvaluation Namespace

[Missing <summary> documentation for "N:Altaxo.Science.Spectroscopy.BaselineEvaluation"]

Classes
 ClassDescription
Public classAirPLS Implements the adaptive iteratively reweighted penalized least squares algorithm proposed by Zhang et al [1].
Public classAirPLSSerializationSurrogate0 
Public classALS Implements the Asymmetric Least Squares method for baseline estimation, proposed by Eilers and Boelens 2005 [1].
Public classALSSerializationSurrogate0 
Public classArPLS Implements the asymmetrically reweighted penalized least squares algorithm proposed by Baek et al [1].
Public classArPLSSerializationSurrogate0 
Public classISREA 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.
Public classISREASerializationSurrogate0 2024-04-16 V0 initial version.
Public classPolynomialDetrending 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).
Public classPolynomialDetrendingSerializationSurrogate0 
Public classSNIP_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.
Public classSNIP_LinearSerializationSurrogate0 
Public classSNIP_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.
Public classSNIP_LogLogSerializationSurrogate0 
Public classSSProb 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.
Public classSSProbSerializationSurrogate0 2024-04-16 V0 initial version.
Public classXToXLine 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.
Interfaces
 InterfaceDescription
Public interfaceIBaselineEvaluation 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.