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 |