Baseline and interferent correction by the Tikhonov regularization framework for linear least squares modeling
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DOI: 10.1002/cem.2962
Abstract: Spectroscopic data are usually perturbed by noise from various sources that should be removed prior to model calibration. After conducting a preprocessing step to eliminate unwanted multiplicative effects (effects that scale the pure signal in… read more here.
Keywords: framework; regularization framework; model; regularization ... See more keywords