benediktfesl/Diffusion_channel_est

Source code of the Paper "Diffusion-Based Generative Prior for Low-Complexity MIMO Channel Estimation"

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This project helps wireless communication engineers more accurately estimate the characteristics of Multiple-Input Multiple-Output (MIMO) communication channels. It takes raw channel data, often gathered from pilot signals, and processes it to produce highly accurate channel state information. This is for researchers and engineers working on advanced wireless systems who need precise channel knowledge to optimize signal transmission and reception.

No commits in the last 6 months.

Use this if you need a cutting-edge method to estimate MIMO communication channels with superior accuracy compared to existing techniques, especially in scenarios where minimizing computational complexity and memory usage is crucial.

Not ideal if you are looking for a general-purpose signal processing library or if your focus is on single-antenna or basic wireless communication systems.

wireless-communication MIMO-systems channel-estimation signal-processing telecommunications-research
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 8 / 25
Maturity 16 / 25
Community 17 / 25

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Stars

68

Forks

12

Language

Python

License

BSD-3-Clause

Last pushed

Oct 09, 2024

Commits (30d)

0

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