Digital signal processing for educational purposes

Digital signal processing library adapted to the knowledge and needs of students of subjects related to signal processing.

Overview

dsppy is an open source Python library designed for educational and practical purposes in the field of digital signal processing (DSP). Its goal is to provide a simple and approachable interface for students and instructors studying or teaching signal processing concepts.

Features

• Simple API inspired by standard DSP notations
• Essential DSP functions (filtering, transforms, convolution, etc.)
• Visualization tools with Matplotlib support
• Integration with popular libraries: NumPy, SciPy, scikit-learn, NetworkX
• Educational examples and clear documentation

Installation

You can install dsppy using pip:

pip install dsppy

Requirements

• Python 3.8 or newer
• numpy
• matplotlib
• scipy
• scikit-learn
• networkx

Usage Example

import numpy as np
import dsppy

# Example: Create a simple signal and apply a filter
x = np.sin(2 * np.pi * np.linspace(0, 1, 100))
y = dsppy.filters.lowpass(x, cutoff=0.2)

dsppy.plot.time(x, label="Original")
dsppy.plot.time(y, label="Filtered")

More examples can be found in the examples/ folder.

Documentation

• API Reference
• Tutorials and notebooks (in progress)

Contributing

Contributions, suggestions, and bug reports are welcome! Please open an issue or submit a pull request.

License

This project is licensed under the GPL-3.0-or-later license.