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

Collaboration diagram for SignalProcessing:

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)

Classes