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.
Original language | English |
---|---|
Article number | 2977 |
Number of pages | 6 |
Journal | The Journal of Open Source Software |
Volume | 6 |
Issue number | 59 |
DOIs | |
Publication status | Published - 31 Mar 2021 |
Keywords
- EMD
- time-series
- nonlinear
- dynamics