libvmd 0.0.3

LIBVMD: Python library for variational mode decomposition for both 1D and 2D

LIBVMD: Python library for variational mode decomposition for both 1D and 2D

This package's functions are translations of MATLAB source codes by Dragomiretskiy and Zosso (2013; 2015)

Related source codes and articles are as below

vmd: MATLAB code, Article

vmd2: MATLAB code, Article

Installation

pip install libvmd

or

git clone https://github.com/hyoddubi1/libvmd.git
python setup.py install

Example codes

1-dimensional VMD

from libvmd.vmd import vmd
from matplotlib import pyplot as plt

2-dimensional VMD

import numpy as np
from libvmd.vmd import vmd2
from matplotlib import pyplot as plt

xs = np.arange(0,200)
X,Y = np.meshgrid(xs,xs)

pi = np.pi
sa = np.sin((1/16 *pi *X  + 1/16 * pi * Y )  * np.exp((-X)/200) ) 
sb = 0.5 * np.sin(1/8 * pi * X - 1/8 * pi * Y);
sc = X / 10 + 1
sc = sc * 0.1 +2

signal = sa+ sb + sc

fig, ax = plt.subplots(1,4,figsize=(15,6))
ax[3].imshow(signal)
ax[3].set_title("Ground truth")

ax[0].imshow(sa)
ax[1].imshow(sb)
ax[2].imshow(sc)

ax[0].set_title("signal 1")
ax[1].set_title("signal 2")
ax[2].set_title("signal 3")

alpha = 1000
tau = 0
K = 3
DC = True
init = 0
tol = 10**-7
N= 3000
mirror_extension = False

u, u_hat, omega = vmd2(signal, K, alpha, tau, DC, init, tol,mirror_extension = mirror_extension)

fig, ax = plt.subplots(2,4,figsize=(15,6))
ax[0,3].imshow(image1)
ax[0,3].set_title("Ground truth")

ax[0,0].imshow(sa)
ax[0,1].imshow(sb)
ax[0,2].imshow(sc)

ax[0,0].set_title("signal 1")
ax[0,1].set_title("signal 2")
ax[0,2].set_title("signal 3")