PyFDA Web

A static, client-side web application for Digital Signal Processing (DSP) filter design and analysis. This tool brings the core logic of the Python pyfda application to the browser using WebAssembly and Pyodide, eliminating the need for a backend server.

Usage

PyFDA Web runs entirely in your browser. You can access and use the live application directly here:

https://borish127.github.io/PyFDA-Web/

Features

• Filter Design: Design Lowpass, Highpass, Bandpass, Bandstop, and Allpass filters.
• Filter Families: Support for IIR (Butterworth, Chebyshev, Elliptic, Bessel) and FIR (Windowed, Equiripple, Moving Average, Least-Squares) methods.
• Interactive Analysis: Visualize Frequency Response (Magnitude/Phase), Group/Phase Delay, Pole-Zero plots, Time-domain responses (Impulse, Step, Stimulus), and 3D Magnitude surfaces.
• Fixpoint Simulation: Simulate quantization effects with configurable word lengths and overflow/rounding behaviors.
• File I/O: Import and export filter designs locally in .npz, .csv, .mat, and .json formats.
• Responsive Design: Optimized for both desktop and mobile web browsers.

Technology Stack

• Core Interface: HTML5, CSS3, JavaScript.

• Design System: Material Design 3 (MD3).

• Data Visualization: Plotly.js.

• DSP Runtime: Python (scipy.signal, numpy) executed via Pyodide.

Contributing

We welcome contributions to PyFDA Web. Whether you want to fix bugs, optimize the interface, add new DSP features, or suggest improvements, your help is appreciated.

How to contribute:

1. Fork the project.

2. Create your feature branch (git checkout -b feature/NewFeature).

3. Commit your changes (git commit -m 'Add some NewFeature').

4. Push to the branch (git push origin feature/NewFeature).

5. Open a Pull Request.

For major changes or feature proposals, please open an issue first to discuss what you would like to change.

License

This project is licensed under the GNU General Public License v3.0 - View LICENSE.md for details.

Credits

Original PyFDA Tool
PyFDA Web is a web-based adaptation inspired by the visual workflow and interface of the original PyFDA by Christian Münker chipmuenk, with backend DSP algorithms powered directly by SciPy and NumPy.