Empirical Mode Decomposition, EMD
Project description
Empirical Mode Decomposition, EMD
Installation
pip install emdpy-z
Quick Start
# Import from emdpy.emd import * import numpy as np # Input t = np.linspace(0, 1, 1000) modes = np.sin(2 * np.pi * 5 * t) + np.sin(2 * np.pi * 10 * t) y = modes + t x, y = t, y # EMD imfs, res, (mean, std) = emd(x, y, mode=0, ps=len(x), max_iter_num = 20) # Plot the figs plot_imfs(imfs, res, col=1)
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Filename, size | File type | Python version | Upload date | Hashes |
---|---|---|---|---|
Filename, size emdpy_z-0.0.3-py3-none-any.whl (13.1 kB) | File type Wheel | Python version py3 | Upload date | Hashes View |
Filename, size emdpy_z-0.0.3.tar.gz (9.6 kB) | File type Source | Python version None | Upload date | Hashes View |