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Fast image super-resolution using conjugate gradient optimization for microscopy and imaging applications.
NIPALS performs PCA on data using iterative least squares and deflation steps. It can deal with missing values.
AslsLocalPartsGui is a MATLAB GUI for interactive baseline correction of spectra using the asymmetric least squares (ASLS) method per-interval parameters.
The PARAFAC-ALS (Lite version) algorithm unmixes trilinear data to obtain the pure components.
The MCR-ALS (Lite version) algorithm unmixes bilinear data to obtain the pure components.
Interval Correlation Optimized Shifting (iCOshift) for fast, robust signal alignment across samples.
It implements all-at-once model for coupled matrix and tensor analysis (CMTF and ACMTF), enabling joint analysis of matrices + higher‐order tensors.
XYOnion: a layer-based method for splitting datasets into calibration and validation subsets.
Creates a combined PCA plot with scores, loadings, and violin plots to visualize sample groups, variable impact, and distributions.
This code recovers saturated signals using O-ALS by treating saturated signal as NaNs and reconstructing them from PCA subspace.