-This repository contains a collection of [Jupyter](https://jupyter.org/) notebooks discussing various topics of [Digital Signal Processing](https://en.wikipedia.org/wiki/Digital_signal_processing). The notebooks provide an introduction into the foundations of spectral analysis, random signals, quantization and filtering. A basic understanding of discrete signals and systems is assumed. See [index.ipynb](http://nbviewer.ipython.org/github/spatialaudio/digital-signal-processing-lecture/blob/master/index.ipynb) for an overview on the available topics. The theory is accompanied by computational examples written in [IPython 3](http://ipython.org/). The examples are best explored in an interactive manner. The notebooks constitute the lecture notes to the masters course [Digital Signal Processing](http://www.int.uni-rostock.de/Digitale-Signalverarbeitung.48.0.html) read by [Sascha Spors](http://www.int.uni-rostock.de/Staff-Info.23+B6JmNIYXNoPWUxOTliMTNjY2U2MDcyZjJiZTI0YTc4MmFkYTE5NjQzJnR4X2pwc3RhZmZfcGkxJTVCYmFja0lkJTVEPTMmdHhfanBzdGFmZl9waTElNUJzaG93VWlkJTVEPTExMQ__.0.html), Institute of Communications Engineering, Universität Rostock.
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