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Lecture notes and computational examples for the bachelors course Signals and Systems
signal-processing signals systems fourier-transform laplace-transform notebook signal jupyter ipython bachelors-course discrete-fourrier-transform open-education
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@spors
spors Common plotting style, re-run examples
Latest commit 8635c34 Apr 24, 2019
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continuous_signals
data Revised text, examples Jul 5, 2016
discrete_fourier_transform Various edits to fix errors in LaTeX/PDF output Apr 3, 2019
discrete_signals
discrete_systems Fixed typos, minor revisions Apr 11, 2017
discrete_time_fourier_transform Various edits to fix errors in LaTeX/PDF output Apr 3, 2019
fourier_transform
laplace_transform
periodic_signals Minor edits Jul 13, 2018
sampling Some edits Apr 2, 2019
system_properties Added numerical approximation of transfer function of realizable low-… Jul 11, 2018
systems_spectral_domain
systems_time_domain Fixed amplitude for animation Apr 18, 2019
z_transform Recreated images Aug 5, 2016
LICENSE Initial checkin Apr 1, 2016
README.md Update Binder settings Apr 23, 2019
apt.txt
index.ipynb Removed link to missing notebook Apr 9, 2019
ipython_kernel_config.py Added PDF to plotting output for export of notebooks as PDF Apr 3, 2019
requirements.txt Update Binder settings Apr 23, 2019

README.md

Signals and Systems

This repository contains a collection of Jupyter notebooks providing notes and examples to the bachelors course Signals and Systems read by Sascha Spors, Institute of Communications Engineering, Universität Rostock.

See index.ipynb for an overview. The notebooks contain computational examples written in IPython 3 which are best explored in an interactive manner.

You are invited to contribute by reporting errors and suggestions as issues or directly to mailto:Sascha.Spors@uni-rostock.de.

Getting Started

The Jupyter notebooks are available

For local use on your computer you need a local Jupyter/IPython installation. The Anaconda distribtution provides a good starting point. You have to clone/download the notebooks from Github. Use a Git client to clone the notebooks and then start your local Jupyter server. For manual installation under OS X/Linux please refer to your packet manager.

License

The notebooks are provided as Open Educational Resource. Feel free to use the notebooks for your own educational purposes. The text is licensed under Creative Commons Attribution 4.0, the code of the IPython examples under the MIT license. Please attribute the work as follows: Signals and Systems by Sascha Spors.

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