MATLAB Implementation of EMD Decomposition with Hilbert Spectral Analysis

Implementation of Empirical Mode Decomposition (EMD) for signal analysis with Hilbert spectral processing, featuring clear code structure and user-friendly operation

Hilbert-Huang Transform (HHT): A Novel Non-Stationary Signal Processing Technique

The Hilbert-Huang Transform (HHT) represents an innovative approach for analyzing non-stationary signals, combining Empirical Mode Decomposition (EMD) with Hilbert spectral analysis. In implementation, signals undergo EMD processing to decompose them into Intrinsic Mode Functions (IMFs) with distinct characteristic scales. Each IMF component then undergoes Hilbert spectral analysis to compute instantaneous frequency and energy distributions. The complete Hilbert spectrum reconstructed from all IMF components provides a time-frequency-energy representation of the original signal, effectively stabilizing non-stationary signals through multi-scale decomposition of fluctuations and trends.