_{Icon made by Vitaliy Gorbachev from www.flaticon.com.}

Signal Analysis with Variance Based Segmentation

Analyzing signals from automotive software systems by dividing the signals into parts using variance based segmentation algorithms.
Explore the docs »

View Demo · Report Bug · Request Feature

In this project, segmentation algorithms for solving the subproblem of finding suitable segmentation indices by constant amount of segments in a multivariate time series are investigated. The algorithms are assessed for effectivity and efficiency by applying them to a data set taken out of a real system trace provided by our automotive partners.

• Python
  • packages can be installed using the requirements.txt file
• Jupyter Notebook

Optionally:

• MATLAB

To be updated.

For more examples, please refer to the docs

Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.

If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement". Don't forget to give the project a star! Thanks again!

1. Fork the Project
2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
3. Commit your Changes (git commit -m 'Add some AmazingFeature')
4. Push to the Branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

Distributed under the MIT License. See LICENSE.txt for more information.

Bojan Lukic - Website

Project Link: https://github.com/Bojan-Lukic/signal-analysis-with-variance-based-segmentation

• Audi
• Thorben Knust

(back to top)