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OALS calculates the scores and loadings from data with missing values.
The Fourier filter filters data in the frequency domain to remove unwanted noise and artifacts.
Smooths each row of the input data (or computes its derivatives) using a Savitzky-Golay filter.
Iterative SVD performs iterative PCA-based imputation to handle missing data.
The WienerFiltering function denoises data using Wiener filtering based on Welch's PSD estimation.
Applies the Whittaker smoother using penalized least squares to reduce noise.
Local Asymmetric Least Squares (LALS) allows complex baseline corrections.
Normalizes an input matrix using various norms and dimensions for flexible data scaling.
It unfolds a hyperspectral image by combining its two spatial dimensions.
BIRFI estimates the IRF via least squares and Tikhonov penalty from the fluorescence decay itself.