EEG Signal Decomposition using EEMD and Component Visualization with eemdplot

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Resource Overview

This code performs Ensemble Empirical Mode Decomposition (EEMD) on a signal series and visualizes the obtained components using eemdplot.m. Simply execute the eemdplot.m script to complete the entire decomposition and plotting process.

Detailed Documentation

First, we need to decompose the signal series using Ensemble Empirical Mode Decomposition (EEMD) and extract its various components. The EEMD algorithm involves adding white noise to the original signal multiple times and performing empirical mode decomposition on each noise-added version, then averaging the results to obtain stable intrinsic mode functions (IMFs). These IMFs represent different frequency components of the original signal. Subsequently, we can visualize these components using the eemdplot.m function, which is specifically designed for plotting EEMD decomposition results. The function automatically handles component extraction and generates informative plots showing each IMF along with the residual component. Therefore, simply running the eemdplot.m script will complete the entire signal decomposition and visualization task.

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