HHT Spectrum and Marginal Spectrum Source Code for Real-World Signal Analysis

Resource Overview

MATLAB source code for computing HHT Spectrum and Marginal Spectrum using real-world signal data - ready to run with simple copy-paste into MATLAB environment

Detailed Documentation

This provides complete source code for Hilbert-Huang Transform (HHT) spectrum and marginal spectrum analysis of actual signal data. The code is designed for immediate execution in MATLAB - simply copy and paste the entire codebase into your MATLAB workspace to begin analysis. Based on the documented implementation, we present a practical example demonstrating HHT spectrum and marginal spectrum computation using real signal data. The code includes key algorithmic components: empirical mode decomposition (EMD) for signal preprocessing, Hilbert spectral analysis for time-frequency representation, and marginal spectrum calculation for frequency distribution analysis. Core MATLAB functions utilized include hilbert() for analytic signal computation and spectrum analysis tools for frequency domain transformation. This ready-to-use implementation offers significant practical value for signal processing applications. Whether you're beginning HHT exploration or conducting advanced research, this example provides valuable insights into HHT methodology implementation, featuring clear code structure with commented sections explaining each processing stage. The implementation serves as both an educational resource and a practical toolbox for real-world signal analysis scenarios.