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Classes
SignalProcessing

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 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  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)


OpenMS / TOPP release 2.0.0 Documentation generated on Tue Nov 1 2016 16:34:46 using doxygen 1.8.11