EMD: Empirical Mode Decomposition

Python tools for the extraction and analysis of non-linear and non-stationary oscillatory signals.

Features

• Sift algorithms including the ensemble sift, complete ensemble sift and mask sift
• Instantaneous phase, frequency and amplitude computation
• Cycle detection and analysis
• Hilbert-Huang spectrum estimation (1d frequency spectrum or 2d time-frequency spectrum)
• Second layer sift to quantify structure in amplitude modulations
• Holospectrum estimation (3d instantaneous frequency x amplitude modulation frequency x time spectrum)