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        "author": "Vinicius Rezende Carvalho",
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        "classifiers": [
            "Development Status :: 3 - Alpha",
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            "License :: OSI Approved :: MIT License",
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            "Topic :: Scientific/Engineering :: Mathematics"
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        "description": "# Variational mode decomposition Python Package\n\nFunction for calculating Variational Mode Decomposition (Dragomiretskiy and Zosso, 2014) of a signal  \nOriginal VMD paper:  \nDragomiretskiy, K. and Zosso, D. (2014) \u00e2\u20ac\u02dcVariational Mode Decomposition\u00e2\u20ac\u2122, \nIEEE Transactions on Signal Processing, 62(3), pp. 531\u00e2\u20ac\u201c544. doi: 10.1109/TSP.2013.2288675.\n\noriginal MATLAB code: https://www.mathworks.com/matlabcentral/fileexchange/44765-variational-mode-decomposition  \n\n\n## Installation \n\n1) Dowload the project from https://github.com/vrcarva/vmdpy, then run \"python setup.py install\" from the project folder\n\nOR\n\n2) pip install vmdpy\n\n## Citation and Contact\nIf you find this package useful, we kindly ask you to cite it in your work.   \nVinicius Carvalho (2019-), Variational Mode Decomposition in Python  \n\nA paper will soon be submitted and linked here.  \n\ncontact: vrcarva@ufmg.br  \nVin\u00c3\u00adcius Rezende Carvalho  \nPrograma de P\u00c3\u00b3s-Gradua\u00c3\u00a7\u00c3\u00a3o em Engenharia El\u00c3\u00a9trica \u00e2\u20ac\u201c Universidade Federal de Minas Gerais, Belo Horizonte, Brasil  \nN\u00c3\u00bacleo de Neuroci\u00c3\u00aancias - Universidade Federal de Minas Gerais  \n\n\n## Example script\n```python\n#%% Simple example  \nimport numpy as np  \nimport matplotlib.pyplot as plt  \nfrom vmdpy import VMD  \n\n#. Time Domain 0 to T  \nT = 1000  \nfs = 1/T  \nt = np.arange(1,T+1)/T  \nfreqs = 2*np.pi*(t-0.5-fs)/(fs)  \n\n#. center frequencies of components  \nf_1 = 2  \nf_2 = 24  \nf_3 = 288  \n\n#. modes  \nv_1 = (np.cos(2*np.pi*f_1*t))  \nv_2 = 1/4*(np.cos(2*np.pi*f_2*t))  \nv_3 = 1/16*(np.cos(2*np.pi*f_3*t))  \n\nf = v_1 + v_2 + v_3 + 0.1*np.random.randn(v_1.size)  \n\n#. some sample parameters for VMD  \nalpha = 2000       # moderate bandwidth constraint  \ntau = 0.            # noise-tolerance (no strict fidelity enforcement)  \nK = 3              # 3 modes  \nDC = 0             # no DC part imposed  \ninit = 1           # initialize omegas uniformly  \ntol = 1e-7  \n\n\n#. Run actual VMD code  \nu, u_hat, omega = VMD(f, alpha, tau, K, DC, init, tol)  \n```\n\n",
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