HHT Hilbert Transform MATLAB Implementation for Beginners

This MATLAB program is specifically designed for beginners to perform HHT Hilbert transform analysis. The Hilbert-Huang Transform (HHT) is a powerful signal processing method particularly effective for analyzing nonlinear and non-stationary signals. The implementation includes core functions for empirical mode decomposition (EMD) and Hilbert spectral analysis, allowing users to decompose complex signals into intrinsic mode functions (IMFs). Beginners can learn fundamental MATLAB signal processing techniques through this code, including signal input handling, frequency analysis, and time-frequency visualization. The program demonstrates key algorithmic steps: signal preprocessing, EMD implementation using sifting processes, instantaneous frequency calculation through Hilbert transform, and Hilbert spectrum generation. Users can modify parameters such as sampling frequency,IMF extraction thresholds, and visualization settings to explore different signal characteristics. By inputting various test signals and adjusting algorithm parameters, beginners can gain practical understanding of HHT principles and applications in feature extraction and signal analysis. This implementation serves as an educational tool for mastering time-frequency analysis techniques in MATLAB.