Edit model card

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

A demo with the model can be found in the EMS Huggingface space.

If you find it useful and use it in your work, please cite

@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 = {Grid-free Harmonic Retrieval and Model Order Selection using Deep Convolutional Neural Networks},
  publisher = {arXiv},
  year = {2022},
}
Downloads last month

-

Downloads are not tracked for this model. How to track
Inference API
Unable to determine this model's library. Check the docs .

Spaces using St0nedB/deepest-public 2