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A symbolic math toolbox in Python to explore the design space of analog circuits based on their derived transfer function. Find possible filters for any given nodal equation set and allowed impedance connections.

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NooriDan/MacAnalog-Symbolix

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MacAnalog-Symbolix

Welcome to the MacAnalog-Symbolix project! This is an opensource symbolic toolbox for analyzing analog circuits based on SymPy in python. We're actively developing new features. A python-based toolbox means endless opportunities for future integeration with scientifict and machine learning (PyTorch) toolboxes.

Features

  • Customize nodal equation and impedance combination for new circuits under test
  • Analyze the possible filters, oscillators, and more!
  • Generate automatic LaTeX report of your runs

Installation

After cloning the repository, open a terminal in the project directory and run the following command:

pip install -e .

How to get started

First Git clone the repo, and follow the instructions below you'll find information and links to the key notebooks.

  • The main codeblocks are under src
  • Quickly get started by running "run-cg" in the terminal to run the experiment defined in common_gate_setup and main
  • Check out summary report of previous the latest runs in Runs
  • Find Previous papers under Papers
  • A demonstration video will be available soon

License

This project is licensed under the GNU General Public License v3 (GPLv3) - see the LICENSE file for details.

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A symbolic math toolbox in Python to explore the design space of analog circuits based on their derived transfer function. Find possible filters for any given nodal equation set and allowed impedance connections.

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