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 # VLBI for EDD
-This repository is currently under development.It contains a set of EDD-based components to support VLBI operation modes. The major usecase is the digital
-downconversion of baseband signal. The digital downconverter processes the incoming baseband data into several narrower sidechannel bands. The sidechannels are packed into VDIF
+The EDD (Effelsberg Direct Digitization) is a modular concept for radioastronomy systems, including receivers, time distribution, digitization, packetization and data processing in the backend. 
+
+This repository is a EDD backend plugin used for VLBI operations, but it also has proven in other usecases.
 
 ## Requirements
 - CUDA 11.0 or greater (and cuBLAS)
 - C++ libs - psrdada, psrdada_cpp, boost, Google Testframework
 - python3 - numpy, matplotlib, scipy, cupy, cusignal
 
-## Installtion
-The repository implements a python module and C++ based command line tools. Get the latest version of this repository by cloning
-
-`git clone https://gitlab.mpcdf.mpg.de/mpifr-bdg/edd_dbbc`
-
-Change the directory to the root directory of the project.
-
-`cd edd_dbbc`
-
-Note: It is highly recommended to install the project within a `edd_base` Docker image.
-
-### Install Python
-The `pyproject.toml`-file allows a installation of the `dbbc`-module via pip.
-
-`pip install .`
-
-Make sure all requirements are satisfied.
-
-### Install C++
-The C++ project (`edd_dbbc`) is managed by CMake. First, create a folder for the output files of cmake (e.g. `bin`)
-
-`mkdir bin && cd bin`
-
-Run cmake
-
-`cmake .. -DPSRDADA_INCLUDE_DIR=/usr/local/include/psrdada -DPSRDADACPP_INCLUDE_DIR=/usr/local/include/psrdada_cpp`
-
-Compile and build
-
-`make -j8 && make install`
-
-Optionally, test the compiled code
-
-`make test`
-
 
 ## Documentation
-Documentation can be found here: <http://mpifr-bdg.pages.mpcdf.de/edd_dbbc/>
+- Documentation can be found here: <http://mpifr-bdg.pages.mpcdf.de/edd_dbbc/>
 
 ## Contact
 Author: Niclas Esser - <nesser@mpifr-bonn.mpg.de>