The function MVMD applies the Multivariate Variational Mode Decomposition (MVMD) algorithm to multivariate or multichannel data.
Principal Component Analysis (PCA) on images in MATLAB (GUI)
Feature level fusion using Canonical Correlation Analysis (CCA)
Dynamic Analysis: Total response of a damped system
When analyzing very high-dimensional data, this implementation of Principal Component Analysis is much faster than MATLAB's pca.m.
Feature fusion using Discriminant Correlation Analysis (DCA)
Permutation entropy for ordinal patterns with tied ranks from 1D time series in sliding windows