spectral-preprocessing

The Asymmetric Least Squares performs baseline correction by penalizing positive residuals.

MSC algorithm for correcting multiplicative and additive scatter effects in spectral data.

MATLAB GUI for Savitzky-Golay spectral filtering

LAsLS applies localized Whittaker smoothing and asymmetry parameters for accurate spectral baseline correction.

NIR-based binary classification of soil nitrogen using PLS-DA, XGBoost, and SVM-RBF with LOOCV evaluation.

Autoscale standardizes data by centering it to zero mean and scaling it to unit variance.

Local Asymmetric Least Squares (LAsLS) allows complex baseline corrections with per-interval parameters.

Removes cosmic peaks from spectral data via derivative thresholding and interpolation.

MATLAB GUI for extended multiplicative scatter correction

EMSC algorithm for correcting multiplicative/additive effects in spectral data.

Interactive MATLAB GUI for detecting and removing cosmic ray spikes from spectral data using derivative-based thresholding.