airpls.cpp File Reference

Baseline estimation using adaptive iteratively reweighted Penalized Least Squares(airPLS)(implementation). More...

#include <cmath>
#include "airpls.h"

Go to the source code of this file.

Functions
const std::vector< double >	sablib::BaselineAirPLS (std::vector< double > &y, const double lambda, const unsigned int s=2, const unsigned int loop=50, const double eps=1e-3)
	Performs baseline estimation using adaptive iteratively reweighted Penalized Least Squares(airPLS).

Detailed Description

Baseline estimation using adaptive iteratively reweighted Penalized Least Squares(airPLS)(implementation).

Author

Izadori

Definition in file airpls.cpp.

Function Documentation

BaselineAirPLS()

const std::vector< double > sablib::BaselineAirPLS	(	std::vector< double > &	y,
		const double	lambda,
		const unsigned int	s = 2,
		const unsigned int	loop = 50,
		const double	eps = 1e-3 )

Performs baseline estimation using adaptive iteratively reweighted Penalized Least Squares(airPLS).

Parameters

y	The input data for baseline estimation.
lambda	Smoothing parameter.
s	The order of the difference (usually s = 1, 2, or 3).
loop	Maximum number of iterations.
eps	Convergence threshold.

Returns

The estimated baseline.

Exceptions

std::invalid_argument

One or more parameters are wrong.

Definition at line 16 of file airpls.cpp.