Complete Process of Empirical Mode Decomposition (EMD) with Hilbert Spectrum and Marginal Spectrum Analysis

A comprehensive implementation of the full EMD decomposition process, featuring Hilbert spectrum and marginal spectrum generation. The provided MATLAB source code is ready-to-use by direct copy-paste into the MATLAB environment, offering complete algorithmic coverage with practical implementation details.

EMD Decomposition in Hilbert-Huang Transform

This is an EMD program for decomposing IMF components. The Hilbert-Huang Transform (HHT) is a novel non-stationary signal processing technique comprising two stages: Empirical Mode Decomposition (EMD) and Hilbert spectral analysis. The implementation involves decomposing arbitrary non-stationary signals into Intrinsic Mode Functions (IMFs) with distinct characteristic scales, followed by Hilbert spectral analysis for each IMF component to construct the signal's full Hilbert spectrum.