HHT Transform: A Highly Practical Toolbox for Signal Analysis

This toolbox provides a highly valuable resource for HHT (Hilbert-Huang Transform), enabling users to better understand and apply this powerful signal analysis technique. The package contains detailed documentation on HHT fundamentals and demonstrates how to utilize it for analyzing and processing various types of signals. Key features include MATLAB implementations of the Empirical Mode Decomposition (EMD) algorithm for signal decomposition and the Hilbert spectral analysis for instantaneous frequency calculation. The toolbox offers numerous practical code examples showing HHT applications in time-frequency analysis, including complete workflows from signal preprocessing to result visualization. Users can download the toolbox and customize it according to their specific needs, with well-structured functions supporting parameter adjustment and algorithm extension. Whether you're a professional researcher or student, this toolbox serves as an excellent resource for learning and applying HHT technology, featuring commented source code that illustrates core algorithms and best practices for signal processing implementation.