|
OpenMS
2.6.0
|
Go to the documentation of this file.
55 template <
typename Container = MSSpectrum>
65 typedef typename PeakIterator::value_type
PeakType;
87 if (&source ==
this)
return *
this;
100 virtual void init(
const Container&
c)
145 while (run != scan_last_)
147 m += (*run).getIntensity();
156 while (run != scan_last_)
158 double tmp(m - (*run).getIntensity());
164 GaussianEstimate value = {m, v};
SignalToNoiseEstimator()
Constructor.
Definition: SignalToNoiseEstimator.h:71
virtual DefaultParamHandler & operator=(const DefaultParamHandler &rhs)
Assignment operator.
SignalToNoiseEstimator(const SignalToNoiseEstimator &source)
Copy constructor.
Definition: SignalToNoiseEstimator.h:78
This class represents the abstract base class of a signal to noise estimator.
Definition: SignalToNoiseEstimator.h:56
std::vector< double > stn_estimates_
stores the noise estimate for each peak
Definition: SignalToNoiseEstimator.h:171
size_t Size
Size type e.g. used as variable which can hold result of size()
Definition: Types.h:127
double variance
variance of estimated Gaussian
Definition: SignalToNoiseEstimator.h:133
virtual void init(const Container &c)
Set the start and endpoint of the raw data interval, for which signal to noise ratios will be estimat...
Definition: SignalToNoiseEstimator.h:100
A base class for all classes handling default parameters.
Definition: DefaultParamHandler.h:92
PeakIterator::value_type PeakType
Definition: SignalToNoiseEstimator.h:65
Main OpenMS namespace.
Definition: FeatureDeconvolution.h:46
virtual double getSignalToNoise(const Size index) const
Definition: SignalToNoiseEstimator.h:108
Base class for all classes that want to report their progress.
Definition: ProgressLogger.h:54
SignalToNoiseEstimator & operator=(const SignalToNoiseEstimator &source)
Assignment operator.
Definition: SignalToNoiseEstimator.h:85
ProgressLogger & operator=(const ProgressLogger &other)
Assignment Operator.
virtual void computeSTN_(const Container &c)=0
computes the S/N values when init() is called
double mean
mean of estimated Gaussian
Definition: SignalToNoiseEstimator.h:132
GaussianEstimate estimate_(const PeakIterator &scan_first_, const PeakIterator &scan_last_) const
calculate mean & stdev of intensities of a spectrum
Definition: SignalToNoiseEstimator.h:138
Container::const_iterator PeakIterator
Definition: SignalToNoiseEstimator.h:64
~SignalToNoiseEstimator() override
Destructor.
Definition: SignalToNoiseEstimator.h:96
protected struct to store parameters my, sigma for a Gaussian distribution
Definition: SignalToNoiseEstimator.h:130
#define OPENMS_POSTCONDITION(condition, message)
Definition: openswathalgo/include/OpenMS/OPENSWATHALGO/Macros.h:48