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.
Normalizes an input matrix using various norms and dimensions for flexible data scaling.
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.
Smooths each row of the input data (or computes its derivatives) using a Savitzky-Golay filter.
The Fourier filter filters data in the frequency domain to remove unwanted noise and artifacts.
The Asymmetric Least Squares performs baseline correction by penalizing positive residuals.