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