The Square
Browse the latest algorithms, datasets, and tools contributed by the global chemometrics community. Find resources, share your work, and stay updated.
Browse the latest algorithms, datasets, and tools contributed by the global chemometrics community. Find resources, share your work, and stay updated.
A Whittaker smoother using penalized LS & iterative imputation to smooth data & fill gaps.
Kernelize transforms bilinear data (exponential decays) using kernels to provide trilinear data.
This function crops a hyperspectral image by keeping pixels with intensities in a defined range.
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.
Normalizes an input matrix using various norms and dimensions for flexible data scaling.
It unfolds a hyperspectral image by combining its two spatial dimensions.
Local Asymmetric Least Squares (LALS) allows complex baseline corrections.
Applies the Whittaker smoother using penalized least squares to reduce noise.
The WienerFiltering function denoises data using Wiener filtering based on Welch's PSD estimation.