Empirical Mode Decomposition (EMD) for Hilbert-Huang Transform
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Resource Overview
MATLAB implementation of Empirical Mode Decomposition (EMD) for Hilbert-Huang Transform signal processing, shared for collaborative learning and technical feedback
Detailed Documentation
This MATLAB implementation provides a comprehensive solution for Empirical Mode Decomposition (EMD), which serves as the fundamental component of the Hilbert-Huang Transform (HHT). The program implements the EMD algorithm to decompose nonlinear and non-stationary signals into intrinsic mode functions (IMFs), enabling detailed time-frequency analysis through the subsequent Hilbert spectral analysis. The code includes core functions for sifting processes, envelope estimation using cubic spline interpolation, and IMF extraction criteria. Key implementation features handle boundary effects and ensure proper stopping conditions for the sifting iterations. We welcome technical discussions and suggestions for improvement regarding the algorithm implementation or signal processing applications.
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