OpenMS
2.5.0
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Signal processing classes (noise estimation, noise filters, baseline filters) More...
Namespaces | |
OpenMS::FastLowessSmoothing | |
LOWESS (locally weighted scatterplot smoothing). | |
Classes | |
class | MorphologicalFilter |
This class implements baseline filtering operations using methods from mathematical morphology. More... | |
class | InternalCalibration |
A mass recalibration method using linear/quadratic interpolation (robust/weighted) of given reference masses. More... | |
class | TOFCalibration |
This class implements an external calibration for TOF data using external calibrant spectra. More... | |
class | SignalToNoiseEstimatorMeanIterative< Container > |
Estimates the signal/noise (S/N) ratio of each data point in a scan based on an iterative scheme which discards high intensities. More... | |
class | SignalToNoiseEstimatorMedian< Container > |
Estimates the signal/noise (S/N) ratio of each data point in a scan by using the median (histogram based) More... | |
class | SignalToNoiseEstimatorMedianRapid |
Estimates the signal/noise (S/N) ratio of each data point in a scan by using the median (window based) More... | |
class | GaussFilter |
This class represents a Gaussian lowpass-filter which works on uniform as well as on non-uniform profile data. More... | |
class | GaussFilterAlgorithm |
This class represents a Gaussian lowpass-filter which works on uniform as well as on non-uniform profile data. More... | |
class | LowessSmoothing |
LOWESS (locally weighted scatterplot smoothing). More... | |
class | SavitzkyGolayFilter |
Computes the Savitzky-Golay filter coefficients using QR decomposition. More... | |
Signal processing classes (noise estimation, noise filters, baseline filters)