tmEMD

Tailored Masked Empirical Mode Decomposition

Author: Charlie Clarke-Williams

Requirements

All figures can be reproduced in the example usage notebook, tmEMD_example.ipynb. All data used to produce figures can be found in the data folder in the main repository. Also included is the iterated EMD module (from https://gitlab.com/marcoFabus/fabus2021_itemd), it_emd, which is needed for comparative analysis. The code was built using Python 3.6.8.

Notes

Example execution of tmEMD can be found in tmEMD_example.ipynb, or simply call the following, following the documentation:

import tmEMD as temd
it_mask_freqs, it_mix_scores, it_adj_mix_scores, it_consistency_scores, it_is, optimised_mask_freqs, converged = temd.run_tmEMD(Xs, sample_rate)