| | Class | Description |
|---|
 | AirPLS |
Implements the adaptive iteratively reweighted penalized least squares algorithm proposed by Zhang et al. [1].
|
| AirPLSSerializationSurrogate0 |
XML serialization surrogate for AirPLS.
|
| AirPLSBase |
Implements the adaptive iteratively reweighted penalized least squares algorithm proposed by Zhang et al. [1].
|
| ALS |
Implements the Asymmetric Least Squares method for baseline estimation, proposed by Eilers and Boelens (2005) [1].
|
| ALSSerializationSurrogate0 |
XML serialization surrogate for ALS.
|
| ALSBase |
Implements the Asymmetric Least Squares method for baseline estimation, proposed by Eilers and Boelens (2005) [1].
|
| ALSMethodsBase |
Base type for asymmetric least squares (ALS)-based baseline estimation methods,
such as AirPLSBase, ALSBase, and ArPLSBase.
|
| ArPLS |
Implements the asymmetrically reweighted penalized least squares algorithm proposed by Baek et al. [1].
|
| ArPLSSerializationSurrogate0 |
XML serialization surrogate for ArPLS.
|
| ArPLSBase |
Implements the asymmetrically reweighted penalized least squares algorithm proposed by Baek et al. [1].
|
| BaselineEstimationNone |
Baseline estimation implementation that performs no baseline estimation.
|
| BaselineEstimationNoneSerializationSurrogate0 |
XML serialization surrogate for BaselineEstimationNone.
|
| ISREA |
Detrends a spectrum by fitting a smoothing spline through the spectrum.
Points above the spline are reduced in amplitude towards the spline, iteratively, until the curve converges.
|
| ISREASerializationSurrogate0 |
2024-04-16 V0 initial version.
|
| ISREABase |
Detrends a spectrum by fitting a smoothing spline through the spectrum.
Points above the spline are reduced in amplitude towards the spline, iteratively, until the curve converges.
|
| PolynomialDetrending |
Detrends spectra by fitting a polynomial to the spectrum and subtracting the fitted curve.
|
| PolynomialDetrendingSerializationSurrogate0 |
XML serialization surrogate for PolynomialDetrending.
|
| PolynomialDetrendingBase |
Detrends spectra by fitting a polynomial to the spectrum and subtracting the fitted curve.
|
| SNIP_Base |
Base type for SNIP (Statistics-sensitive Non-linear Iterative Procedure) baseline estimation methods.
|
| SNIP_Linear |
SNIP algorithm for background estimation on linear (unmodified) data.
SNIP = Statistics-sensitive Non-linear Iterative Procedure.
|
| SNIP_LinearSerializationSurrogate0 |
XML serialization surrogate for SNIP_Linear.
|
| SNIP_LogLog |
SNIP algorithm for background estimation (SNIP = Statistics-sensitive Non-linear Iterative Procedure).
Before execution of the algorithm, the data are transformed by applying a double logarithm,
as described in Ref. [1], and are back-transformed afterwards.
|
| SNIP_LogLogSerializationSurrogate0 |
XML serialization surrogate for SNIP_LogLog.
|
| SSProb |
Detrends a spectrum by fitting a smoothing spline through the spectrum.
Spectral data points that lie significantly above the spline are excluded from the spline fit.
The process is repeated until the result no longer changes.
|
| SSProbSerializationSurrogate0 |
2024-04-16 V0 initial version.
|
| SSProbBase |
Detrends a spectrum by fitting a smoothing spline through the spectrum.
Spectral data points that lie significantly above the spline are excluded from the spline fit.
The process is repeated until the result no longer changes.
|
| XToXLine |
Baseline estimation method that uses a straight line between the two anchor positions X0 and X1.
|
| XToXLineSerializationSurrogate0 |
XML serialization surrogate for XToXLine.
|
| XToXLineBase |
Base type for baseline estimation methods that use a straight line between two x-axis anchor points.
|
Classes