File List

Here is a list of all documented files with brief descriptions:

[detail level 12345]

GitHub
sablib
sablib
baseline
airpls.cpp	Baseline estimation using adaptive iteratively reweighted Penalized Least Squares(airPLS)(implementation)
airpls.h	Baseline estimation using adaptive iteratively reweighted Penalized Least Squares(airPLS)
arpls.cpp	Baseline estimation using asymmetrically reweighted Penalized Least Squares(arPLS)(implementation)
arpls.h	Baseline estimation using asymmetrically reweighted Penalized Least Squares(arPLS)
asls.cpp	Baseline estimation using Asymmetric Least Squares Smoothing(AsLS)(implementation)
asls.h	Baseline estimation using Asymmetric Least Squares Smoothing(AsLS)
backcor.cpp	Baseline estimation using iterative polynomial fitting with a non-quadratic cost function(Backcor algorithm)(implementation)
backcor.h	Baseline estimation using iterative polynomial fitting with a non-quadratic cost function(Backcor algorithm)
beads.cpp	Baseline estimation and subtraction using Baseline Estimation And Denoising using Sparsity(BEADS)(implementation)
beads.h	Baseline estimation and subtraction using Baseline Estimation And Denoising using Sparsity(BEADS)
goldindec.cpp	Baseline estimation using Goldindec(implementation)
goldindec.h	Baseline estimation using the Goldindec algorithm
imodpoly.cpp	Baseline estimation using Improved Modified Polynomial(IModPoly) method(implementation)
imodpoly.h	Baseline estimation using Improved Modified Polynomial(IModPoly) method
modpoly.cpp	Baseline estimation using Modified Polynomial(ModPoly) method(implementation)
modpoly.h	Baseline estimation using Modified Polynomial(ModPoly) method
polynomial.cpp	Baseline estimation with polynomial line(implementation)
polynomial.h	Baseline estimation with polynomial line
psalsa.cpp	Baseline estimation using Peaked Signal’s Asymmetric Least Squares Algorithm(psalsa)(implementation)
psalsa.h	Baseline estimation using Peaked Signal’s Asymmetric Least Squares Algorithm(psalsa)
sma.cpp	Baseline estimation using simple moving average(implementation)
sma.h	Baseline estimation using simple moving average
snip.cpp	Baseline estimation using Statistics-sensitive Non-linear Iterative Peak-clipping(SNIP)(implementation)
snip.h	Baseline estimation using Statistics-sensitive Non-linear Iterative Peak-clipping(SNIP)
spline.cpp	Baseline estimation from cubic spline(implementation)
spline.h	Baseline estimation from cubic spline
misc
bspline.h	B-Spline basis functions and interpolation
convolve.h	Python's NumPy-like convolve() function
cubic_spline.h	Performs cubic spline parameter calculation and interpolation
diff.h	MATLAB-like diff() function
expand.h	Expands and Trim the boundaries of the data
polyfit.h	Polynomial fitting using the least squares method (Gauss-Newton for linear models) and evaluating polynomial function
spdiags.h	Python's SciPy-like spdiags() function
smoothing
moving_average.cpp	Smoothing using simple/weighted moving average(implementation)
moving_average.h	Smoothing using simple/weighted moving average
moving_median.cpp	Smoothing using moving median(implementation)
moving_median.h	Smoothing using moving median
pspline.cpp	Smoothing with penalized Spline(P-Spline)(implementation)
pspline.h	Smoothing using penalized Spline(P-Spline)
savitzky_golay.cpp	Smoothing using Savitzky-Golay filter(implementation)
savitzky_golay.h	Smoothing using Savitzky-Golay filter
whittaker.cpp	Smoothing using Whittaker smoother(implementation)
whittaker.h	Smoothing using Whittaker smoother