Digital Signal Processing
This repository contains a collection of Jupyter notebooks discussing various topics of Digital Signal Processing.
The Jupyter notebooks are available:
- Online as static web pages.
- Online for interactive use using binder. This will not always be up-to-date.
- Local (offline but faster than binder) use on your computer. I recommend using the Anaconda software package.
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: Lecture Notes on Digital Signal Processing by Henk Kortier.