OpenMS

Signal processing classes (noise estimation, noise filters, baseline filters) More...
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 lowpassfilter which works on uniform as well as on nonuniform profile data. More...  
class  GaussFilterAlgorithm 
This class represents a Gaussian lowpassfilter which works on uniform as well as on nonuniform profile data. More...  
class  LowessSmoothing 
LOWESS (locally weighted scatterplot smoothing). More...  
class  SavitzkyGolayFilter 
Computes the SavitzkyGolay filter coefficients using QR decomposition. More...  
Signal processing classes (noise estimation, noise filters, baseline filters)