/SplitML

SplitML (Signal Processing Library for Interference rejecTion by Machine Learning) is a code repository for a set of tools for interference rejection in complex time-domain signals.

Primary LanguagePythonOtherNOASSERTION

SplitML

Signal Processing Library for Interference rejecTion via Machine Learning.

Installation/setup

Set up Anaconda environment:

conda env create -f environment.yml

Activate environment:

conda activate splitml

Install Pytorch 1.12 (see Pytorch website for OS, CPU/GPU options):

conda install pytorch torchvision torchaudio cudatoolkit=11.3 -c pytorch-nightly

Install splitml package locally:

pip install -e .

Organization

The code is organized as:

  • The splitml/ directory contains the package source code.
  • The results/ directory contains derivative products of using the source code.
  • The examples/ directory contains example scripts and notebooks for using the package.

Copyright notice

© 2022. Triad National Security, LLC. All rights reserved. This program was produced under U.S. Government contract 89233218CNA000001 for Los Alamos National Laboratory (LANL), which is operated by Triad National Security, LLC for the U.S. Department of Energy/National Nuclear Security Administration. All rights in the program are reserved by Triad National Security, LLC, and the U.S. Department of Energy/National Nuclear Security Administration. The Government is granted for itself and others acting on its behalf a nonexclusive, paid-up, irrevocable worldwide license in this material to reproduce, prepare derivative works, distribute copies to the public, perform publicly and display publicly, and to permit others to do so.