Functions for normalization of spectra data. More...

Functions
void	eis::normalize (std::vector< eis::DataPoint > &data)
	Normalizes the data to [0,1].

std::vector< eis::DataPoint >	eis::reduceRegion (const std::vector< eis::DataPoint > &data, fvalue gradThreshFactor=0.01, bool useSecondDeiv=false)
	Reduces the data by removing "uninteresting" regions Uninteresting regions are determined by taking the first and second derivative and removing the areas where these change very little.

void	eis::eraseSingularites (std::vector< eis::DataPoint > &data)
	Removes INF and NAN from the dataset by interpolating from neighboring points.

Detailed Description

Functions for normalization of spectra data.

Function Documentation

◆ eraseSingularites()

void eis::eraseSingularites ( std::vector< eis::DataPoint > & data )

Removes INF and NAN from the dataset by interpolating from neighboring points.

This function is not available when this library is compiled with fast math enabled

As a side effect, this function caps spikes to +-INF to +-10 maximally

Parameters

data	the data to remove INF and NAN from

◆ normalize()

void eis::normalize ( std::vector< eis::DataPoint > & data )

Normalizes the data to [0,1].

Parameters

data	the data to normalize

◆ reduceRegion()

std::vector< eis::DataPoint > eis::reduceRegion	(	const std::vector< eis::DataPoint > &	data,
		fvalue	gradThreshFactor = `0.01`,
		bool	useSecondDeiv = `false`
	)

Reduces the data by removing "uninteresting" regions Uninteresting regions are determined by taking the first and second derivative and removing the areas where these change very little.

Parameters

data	the data to reduce

Returns: the reduced data