Digital Signal Processing – Lecture notes featuring computational examples

Digital signal processing is underlying many techniques for the processing of audio signals. The lecture notes to our masters course Digital Signal Processing are available as Open Educational Resource. The materials are provided in the form of jupyter notebooks featuring computation examples written in IPython 3. The materials can be inspected

The sources of the notebooks, as well as installation and usage instructions are available on GitHub. You can give the repository on GitHub a Star if you like the notebooks. You are invited to contribute by reporting errors and suggestions as issues or directly via Sascha.Spors@uni-rostock.de. I am also looking forward to ideas for new examples or topics.

10.5281/zenodo.59199

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