
# 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},
}
```
{"language": ["en"], "tags": ["parameter estimation", "wireless channel"]}
parameter estimation wireless channel en arxiv:2211.04846 has_space region:us
TAGS
#parameter estimation #wireless channel #en #arxiv-2211.04846 #has_space #region-us 


# deepest
'deepest' is a neural network trained to perform wireless channel parameter estimation.

For more information, please refer to the current paper at URL

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 

# deepest
'deepest' is a neural network trained to perform wireless channel parameter estimation.

For more information, please refer to the current paper at URL

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
TAGS
#parameter estimation #wireless channel #en #arxiv-2211.04846 #has_space #region-us 
 # deepest
'deepest' is a neural network trained to perform wireless channel parameter estimation.

For more information, please refer to the current paper at URL

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
TAGS
#parameter estimation #wireless channel #en #arxiv-2211.04846 #has_space #region-us 
# deepest
'deepest' is a neural network trained to perform wireless channel parameter estimation.

For more information, please refer to the current paper at URL

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