Principal Component Analysis (PCA) on images in MATLAB (GUI)
The function MVMD applies the Multivariate Variational Mode Decomposition (MVMD) algorithm to multivariate or multichannel data.
Feature level fusion using Canonical Correlation Analysis (CCA)
Feature fusion using Discriminant Correlation Analysis (DCA)
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.
code to compute the B-coefficients (loss coefficiens using matpower)
Get elevations from Google Maps (Google API key required) from latitute and longitude, coordinates input (UTM)