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signals-and-systems-exercises

Tutorial

Continuous- and Discrete-Time Signals and Systems - A Tutorial with Computational Examples

Lecture and tutorial are designed for International Standard Classification of Education (ISCED) level 6.

Lecture

This Jupyter notebook based tutorial using Python is accompanying the lecture

Continuous-Time and Discrete-Time Signals and Systems - Theory and Computational Examples

Lecture and tutorial are designed for International Standard Classification of Education (ISCED) level 6.

German Version

We are in the design process of a very detailed 12 units tutorial to support remote learning for our students within COVID-19 era, thus the initial version is in German. Translations to English are scheduled ASAP.

Please see the LaTex main file tutorial_latex_deu/sig_sys_ex.tex. There are several graphics included, which are created by the provided Jupyter notebooks. These have an ID with hex numbers in file name so that notebooks can be linked to the exercises within the tex project.

We might wish to compile all notebooks at once, then we can use:

python3 -m nbconvert --ExecutePreprocessor.kernel_name="mydsp" --execute --inplace *.ipynb **/*.ipynb **/**/*.ipynb

License

  • Creative Commons Attribution 4.0 International License (CC BY 4.0) for text/graphics
  • MIT License for software

Referencing

Please cite this open educational resource (OER) project as

Frank Schultz, Continuous- and Discrete-Time Signals and Systems - A Tutorial with Computational Examples, University of Rostock, https://github.com/spatialaudio/signals-and-systems-exercises, Either: short SHA of the master branch commit to be cited. Year of commit. Or: zenodo.org DOI. release year of DOI. (TBD)

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Authorship

University of Rostock:

  • Frank Schultz (concept, design, main author)
  • Till Rettberg (concept, design)
  • Sascha Spors (proof reading, concept)
  • Matthias Geier (proof reading, technical advisor)
  • Vera Erbes (proof reading)