MATLAB Implementation of Hilbert-Huang Transform (HHT) for Signal Analysis

This MATLAB implementation of the Hilbert-Huang Transform (HHT) provides a comprehensive tool for analyzing and processing signal data, particularly suitable for time-frequency analysis and nonlinear vibration studies. The code implements the complete HHT methodology, which consists of two main components: Empirical Mode Decomposition (EMD) for signal decomposition into Intrinsic Mode Functions (IMFs), followed by Hilbert spectral analysis for instantaneous frequency calculation. You can customize this implementation for your research project by adding additional data preprocessing steps, modifying the sifting process parameters in EMD, or enhancing the Hilbert transform algorithm. The program includes key functions for boundary condition handling, IMF validation criteria, and spectral visualization, making it highly practical for understanding and interpreting complex research data. This implementation serves as an excellent foundation for developing specialized signal processing applications in fields such as mechanical fault diagnosis, biomedical signal analysis, and seismic data processing.