A Whittaker smoother using penalized LS & iterative imputation to smooth data & fill gaps.
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Updated
Aug 7, 2026 - MATLAB
A Whittaker smoother using penalized LS & iterative imputation to smooth data & fill gaps.
Local Asymmetric Least Squares (LAsLS) allows complex baseline corrections with per-interval parameters.
BIRFI estimates the IRF via least squares and smoothing penalty from the fluorescence decay itself.
BIRFI estimates the IRF via least squares and Tikhonov penalty from the fluorescence decay itself.
Applies the Whittaker smoother using penalized least squares to reduce noise.
The Asymmetric Least Squares performs baseline correction by penalizing positive residuals.
MATLAB GUI for Whittaker spectral smoothing
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