Visualization of Intrinsic Mode Functions and Residual Signals from Empirical Mode Decomposition

This program displays all Intrinsic Mode Functions (IMFs) and residual signals obtained through Empirical Mode Decomposition (EMD), along with the reconstructed signal from these components, featuring customizable decomposition parameters and signal processing capabilities.

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.

Hilbert-Huang Transform (HHT): A Novel Non-Stationary Signal Processing Technique

The Hilbert-Huang Transform (HHT) represents an innovative approach for analyzing non-stationary signals, combining Empirical Mode Decomposition (EMD) with Hilbert spectral analysis. In implementation, signals undergo EMD processing to decompose them into Intrinsic Mode Functions (IMFs) with distinct characteristic scales. Each IMF component then undergoes Hilbert spectral analysis to compute instantaneous frequency and energy distributions. The complete Hilbert spectrum reconstructed from all IMF components provides a time-frequency-energy representation of the original signal, effectively stabilizing non-stationary signals through multi-scale decomposition of fluctuations and trends.