pydecomposer 1.1.5

A tool for advanced signal decomposition using VMD and CEEMDAN

PyDecomposer

PyDecomposer is a Python package for advanced signal decomposition using Variational Mode Decomposition (VMD) and Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN).

Features

• Decompose signals using VMD and CEEMDAN
• Automatically adjust the number of Intrinsic Mode Functions (IMFs)
• Classify IMFs into high-frequency and low-frequency components
• Visualize decomposed signals and IMFs

Installation

You can install PyComposer using pip:

pip install pydecomposer

Usage

Here's a quick example of how to use PyComposer:

import numpy as np
from pydecomposer import DecompositionModel

# Generate a sample signal
t = np.linspace(0, 1, 1000)
signal = np.sin(2*np.pi*10*t) + 0.5*np.sin(2*np.pi*50*t)

# Create a DecompositionModel instance
model = DecompositionModel()

# Execute the decomposition
model.run(signal)

# Get the decomposed signals
high_freq, medium_freq, low_freq, residual = model.get_signals()

GitHub

For more detailed information please visit the GitHub Repo full documentation.

Dependencies

• numpy
• matplotlib
• vmdpy
• EntropyHub
• PyEMD

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

This project is licensed under the Apache License, Version 2.0 - see the LICENSE file for details.

Contact

For any issues or questions, please contact <[e-mail].