MFSP teaching notebooks

This rep contains jupyter notebooks for teaching mathematical foundations of signal processing.

For simplicity, you can run the notebooks using Binder: https://mybinder.org/v2/gh/adamscholefield/MFSP_notebooks/master

Alternatively, if you wish to run the notebooks locally, a list of required packages is given in the requirements.txt.

List of notebooks:

The following notebooks are included:

1. Finite dimensional inverse problems: a geometrical perspective
2. FRI simple: a basic Anihilatig Filter example
3. Basis Expansion: visualsiation and orthogonalisation of bases of function spaces
4. Projections: approximating functions with help of projection theorem

Contribute

If you want to contribute to this repository, you should run:

./scripts/setup_repository

after downloading the repository, in order to set up yapf formatter and git hook for removing non important changes and outputs form Jupyter Notebooks.