Signal processing classes (noise estimation, noise filters, basline filters) More...
| Classes | |
| class | MorphologicalFilter | 
| This class implements baseline filtering operations using methods from mathematical morphology.  More... | |
| class | InternalCalibration | 
| A simple calibration method using linear interpolation 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 | 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, basline filters)
| OpenMS / TOPP release 1.11.1 | Documentation generated on Thu Nov 14 2013 11:19:25 using doxygen 1.8.5 |