EMD Toolbox - A Comprehensive Toolkit for HHT Methodology

The EMD Toolbox serves as a convenient resource for newcomers to the HHT methodology. This specialized toolbox is designed specifically for Hilbert-Huang Transform applications, offering beginners an accessible pathway to learn and implement this sophisticated signal processing technique. The toolbox incorporates core algorithms including the Empirical Mode Decomposition (EMD) process for signal sifting and the Hilbert spectral analysis, enabling users to decompose complex signals into intrinsic mode functions (IMFs). Key functions within the toolbox facilitate data preprocessing, feature extraction, and time-frequency analysis through programmable interfaces. Beginners can utilize built-in functions for signal decomposition, instantaneous frequency calculation, and Hilbert spectrum visualization, allowing hands-on experience with HHT's core concepts. The implementation includes sifting process controls, IMF validation criteria, and boundary condition handling through configurable parameters. By employing the EMD Toolbox, users can perform complete HHT analysis workflows - from raw signal input to final Hilbert spectrum output - making it an invaluable resource for practical applications in signal processing, vibration analysis, and biomedical engineering.