readme: ---
  language: 
    - en
  tags:
  - parameter estimation
  - wireless channel
  
  ---
  
  # deepest
  `deepest` is a neural network trained to perform wireless channel parameter estimation.
  
  For more information, please refer to the current paper at [Arxiv.org](https://arxiv.org/abs/2211.04846)
  
  A demo with the model can be found in the EMS [Huggingface space](https://huggingface.co/spaces/EMS-TU-Ilmenau/deepest-demo).
  
  If you find it useful and use it in your work, please cite 
  ```text
  @misc{deepest2022,
    doi = {10.48550/ARXIV.2211.04846},
    url = {https://arxiv.org/abs/2211.04846},
    author = {Schieler, Steffen and Semper, Sebastian and Faramarzahangari, Reza and Döbereiner, Michael and Schneider, Christian},
    title = {Estimation of Signal Parameters using Deep Convolutional Neural Networks},
    publisher = {arXiv},
    year = {2022},
  }
  ```