arpls.h File Reference

Baseline estimation using asymmetrically reweighted Penalized Least Squares(arPLS). More...

#include <stdexcept>
#include "../smoothing/whittaker.h"

Go to the source code of this file.

Functions
const std::vector< double >	sablib::BaselineArPLS (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 asymmetrically reweighted Penalized Least Squares(arPLS).

Detailed Description

Baseline estimation using asymmetrically reweighted Penalized Least Squares(arPLS).

Author

Izadori

References:

• Baek, S.-J.; Park, A.; Ahn, Y.-J.; Choo, J. Baseline Correction Using Asymmetrically Reweighted Penalized Least Squares Smoothing. Analyst 2015, 140(1), 250–257.

Definition in file arpls.h.

Function Documentation

BaselineArPLS()

const std::vector< double > sablib::BaselineArPLS	(	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 asymmetrically reweighted Penalized Least Squares(arPLS).

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 17 of file arpls.cpp.