Lovelace's Square - Local Asymmetric Least Squares (LALS)
MIT | 1.0 | 2025-03-23
Local Asymmetric Least Squares (LALS)
PreprocessingMATLAB
Local Asymmetric Least Squares (LALS) 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 LALS method effectively handles complex baselines, enhancing the accuracy of subsequent spectral analyses.
