
Signalübertragung Demos
Introduction
This repository contains demos for selected topics of the book "Signalübertragung", by Jens-Rainer Ohm (chair of Institut für Nachrichtentechnik) at RWTH Aachen University and Hans Dieter Lüke (former chair).
Visit the notebook index.ipynb for a table of contents.
Quick Start
Run the notebooks directly online . Please note the following limitations:
- The starting process of the session may take up to one minute.
- Please note that the session will be cancelled after 10 minutes of user inactivity.
Usage
To be able to open the demos locally, you need to have a Python environment as well as JupyterLab installed. We recommend to use Anaconda for a local installation.
Anaconda
To run the notebooks on your local machine, you may use Anaconda (using pip
is also possible for experienced users. You have to install all the requirements listed in binder/environment.yml
and install the two jupyter labextension ...
commands listed in binder/postBuild
).
Installation
-
Install Anaconda.
-
Download this repository to your local disk. You can download via
git clone --recurse-submodules git@git.rwth-aachen.de:IENT/signaluebertragung-demos.git
. -
It is highly recommended to run the notebooks in an isolated Anaconda environment. You can create a new environment called
suelab
from the providedbinder/environment.yml
by runningconda env create -f binder/environment.yml
in the Anaconda prompt. This makes sure that all required packages are installed amd don't interfere with the packages in your base environment. -
Activate this environment with
conda activate suelab
. -
Run two final commands in the Anaconda prompt (with activated
suelab
environment):chmod +x binder/postBuild binder/postBuild
If the latter command fails, please open
binder/postBuild
and execute the commands listed there manually.
Run
- Activate the environment with
conda activate suelab
. - Run JupyterLab
jupyter lab
. In your browser, JupyterLab should start. You can then openindex.ipynb
for an overview over all notebooks. - You can deactivate the environment with
conda deactivate
(and switch back to it withconda activate suelab
).
Docker
For advanced users only: If you happen to have Docker installed, you can start a local dockerized JupyterLab with all dependencies already taken care off (clone this repository and run the Docker image)
git clone --recurse-submodules https://git.rwth-aachen.de/IENT/signaluebertragung-demos.git sue-demos
docker run --name='sue-demos' --rm -it -p 8888:8888 -v ${pwd}/sue-demos:/home/jovyan/work registry.git.rwth-aachen.de/ient/gdet3-demos:master
Copy and paste the displayed link to your favorite browser.
Contact
- If you found a bug, please use the issue tracker.
- In all other cases, please contact Christian Rohlfing.
The code is licensed under the MIT license.