| OpenMS 2.5.0

Namespaces | Classes
SignalProcessing
Analysis

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...

## Detailed Description

Signal processing classes (noise estimation, noise filters, baseline filters)