# emilbjornson/deep-learning-channel-estimation

<https://repo.masters-masters.com/en/repos/emilbjornson/deep-learning-channel-estimation>

[Home](https://repo.masters-masters.com/en) › [emilbjornson](https://repo.masters-masters.com/en/owners/emilbjornson) › [deep-learning-channel-estimation](https://repo.masters-masters.com/en/repos/emilbjornson/deep-learning-channel-estimation)

emilbjornson/deep-learning-channel-estimation has 120 stars on GitHub. Its RepoMasters card: Prototype tier. Simulation code for “Channel Estimation in…

| Field | Value |
| --- | --- |
| Owner | [emilbjornson](https://repo.masters-masters.com/en/owners/emilbjornson) |
| Stars | 120 |
| Forks | 46 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2020 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [emilbjornson/deep-learning-channel-estimation](https://github.com/emilbjornson/deep-learning-channel-estimation) |

## Repository

Simulation code for “Channel Estimation in Massive MIMO under Hardware Non-Linearities: Bayesian Methods versus Deep Learning,” by Özlem Tugfe Demir, Emil Björnson, IEEE Open Journal of the Communications Society, To appear.

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.