Python wrapper library for signal processing and communications research.
py-itpp is a set of Python wrappers over the open source IT++ library (which is written in C++). The wrappers are built using PYBIND11 and compile to a shared library that can be imported into Python. The py-itpp data structures can be easily converted to Numpy ndarrays for further processing and plotting. In addition to fast prototyping for signal processing and communications research, py-itpp is motivated by research into machine learning for communication systems.
As of v0.0.3, only Python3 is supported.
py-itpp is available as a public Docker image hosted at vidit13/py-itpp .
pip3 install pybind11
Re-open the terminal.
git clone https://github.com/vidits-kth/py-itpp.git
cd py-itpp
./install_prerequisites_python3.sh
make install
pip3 install -e .
Re-open the terminal.
import itpp
a = itpp.vec('0:10:100')
print(a) Examples: https://github.com/vidits-kth/py-itpp/tree/master/examples
https://github.com/lpkg/LinkAdaptationCSI
https://github.com/vidits-kth/contextual-mab-link-adaptation
https://github.com/vidits-kth/py-radio-autoencoder