EMD Program

The EMD (Empirical Mode Decomposition) source code provides a computational implementation for extracting specific signal components through an adaptive decomposition approach. The algorithm operates by iteratively applying a sifting process to identify intrinsic mode functions (IMFs) that satisfy two key conditions: symmetry in upper/lower envelopes and zero-crossing count matching. This MATLAB-based implementation typically involves core functions for envelope calculation (using cubic spline interpolation), local extrema detection, and stopping criteria evaluation. By separating complex signals into simpler IMFs that reflect the signal's inherent oscillations, the code enables advanced time-frequency analysis and signal denoising applications. The development of this open-source EMD implementation has significantly advanced signal processing capabilities, particularly for non-stationary biological and physical signal analysis where traditional Fourier methods prove inadequate.