Local Asymmetric Least Squares (LAsLS) applies localized Whittaker and asymmetry parameters for baseline correction in spectral data. It uses an iteratively reweighted least squares approach to adapt to varying background trends. The LAsLS method effectively handles complex baselines by permitting distinct asymmetry and smoothing penalties on user-defined intervals, enhancing the accuracy of subsequent spectral analyses.
Adrián Gómez-Sánchez, Berta Torres-Cobos, and Rodrigo Rocha de Oliveira, Local Asymmetric Least Squares (LAsLS) for noisy and complex baseline correction, submitted to Journal of Chemometrics. 2026.
GitHub repository. https://github.com/LovelaceSquare/lasls-gui Version 1.4.