snip.cpp File Reference

Baseline estimation using Statistics-sensitive Non-linear Iterative Peak-clipping(SNIP)(implementation). More...

#include <algorithm>
#include <cmath>
#include <Eigen/Eigen>
#include "snip.h"

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Functions
const std::vector< double >	sablib::BaselineSnip (const std::vector< double > &y, const unsigned int m, const bool decreasing=true, const SnipPreprocess preprocess=SnipPreprocess::None, const unsigned int loop=1)
	Performs baseline estimation using the Statistics-sensitive Non-linear Iterative Peak-clipping (SNIP) algorithm.

Detailed Description

Baseline estimation using Statistics-sensitive Non-linear Iterative Peak-clipping(SNIP)(implementation).

Author

Izadori

Definition in file snip.cpp.

Function Documentation

BaselineSnip()

const std::vector< double > sablib::BaselineSnip	(	const std::vector< double > &	y,
		const unsigned int	m,
		const bool	decreasing = true,
		const SnipPreprocess	preprocess = SnipPreprocess::None,
		const unsigned int	loop = 1 )

Performs baseline estimation using the Statistics-sensitive Non-linear Iterative Peak-clipping (SNIP) algorithm.

Parameters

y	The input data vector (signal to be processed).
m	The maximum half-window size (maximum clipping distance).
decreasing	If true, iterates from m down to 1 (recommended). If false, iterates from 1 up to m.
preprocess	The preprocessing transformation to apply before clipping (None, LL, or LLS).
loop	The number of times to repeat the entire SNIP process (usually 1 is sufficient).

Returns

A vector of the estimated baseline.

Exceptions

std::invalid_argument

One or more parameters are wrong.

Definition at line 17 of file snip.cpp.