Better, drop in replacement of vmdpy
Project description
vmdrs-py
Drop in replacement for vmdpy with fixes and improvements using the vmd-rs Rust crate.
VMD, aka Variational Mode Decomposition, is a signal processing tool that decompse the input signal into different band-limited IMFs.
Installation
Available on PyPI
pip install --upgrade vmdrs-py
Requirements
numpy>=1.20
Examples
#%% Simple example: generate signal with 3 components + noise
import numpy as np
import matplotlib.pyplot as plt
from vmdrs_py import VMD
#. Time Domain 0 to T
T = 1000
fs = 1/T
t = np.arange(1,T+1)/T
freqs = 2*np.pi*(t-0.5-fs)/(fs)
#. center frequencies of components
f_1 = 2
f_2 = 24
f_3 = 288
#. modes
v_1 = (np.cos(2*np.pi*f_1*t))
v_2 = 1/4*(np.cos(2*np.pi*f_2*t))
v_3 = 1/16*(np.cos(2*np.pi*f_3*t))
f = v_1 + v_2 + v_3 + 0.1*np.random.randn(v_1.size)
#. some sample parameters for VMD
alpha = 2000 # moderate bandwidth constraint
tau = 0. # noise-tolerance (no strict fidelity enforcement)
K = 3 # 3 modes
DC = 0 # no DC part imposed
init = 1 # initialize omegas uniformly
tol = 1e-7
#. Run VMD
u, u_hat, omega = VMD(f, alpha, tau, K, DC, init, tol)
#. Visualize decomposed modes
plt.figure()
plt.subplot(2,1,1)
plt.plot(f)
plt.title('Original signal')
plt.xlabel('time (s)')
plt.subplot(2,1,2)
plt.plot(u.T)
plt.title('Decomposed modes')
plt.xlabel('time (s)')
plt.legend(['Mode %d'%m_i for m_i in range(u.shape[0])])
plt.tight_layout()
Compiling from source
Requirements
- Python >= 3.7
- Rustc
Instructions
Rust compiler is needed since this project is compiled using Maturin.
pip install maturin
git clone https://github.com/jiafuei/vmdrs-py.git && cd vmdrs-py
maturin build --release
Customizing BLAS providers
BLAS is used by ndarray, follow the instructions there and edit Cargo.toml.
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
vmdrs_py-0.3.0.tar.gz
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