EMD: Empirical Mode Decomposition and Hilbert-Huang Spectral Analyses in Python
Andrew J. Quinn, Vítor Lopes‐dos‐Santos, David Dupret, Anna C. Nobre, Mark W. Woolrich
Abstract
The Empirical Mode Decomposition (EMD) package contains Python (>=3.5) functions for analysis of non-linear and non-stationary oscillatory time series. EMD implements a family of sifting algorithms, instantaneous frequency transformations, power spectrum construction and single-cycle feature analysis. These implementations are supported by online documentation containing a range of practical tutorials.
Topics & Concepts
Hilbert–Huang transformPython (programming language)Computer scienceAlgorithmPeriodogramProgramming languageTelecommunicationsWhite noiseMachine Fault Diagnosis TechniquesTime Series Analysis and Forecasting