The standard EMD decomposes a signal x(𝑡) into N sets of frequency- and amplitude-modulated signal components by employing an iterative process called the sifting algorithm, such asx(𝑡)=Σ𝑐𝑖(𝑡)𝑁�
Figures stored in MATLAB's .fig file format for the data presented in "Dynamic mode decomposition-based reconstructions for fluid-structure interactions: An application to membrane wings" by E. Rodrig
This data set contains 777924 correlation coefficients calculated from 63-channel EEG signals recorded on the scalp of 14 individuals. Each line corresponds to one matrix element as: Row, Column
