Source code for paper "Deep Diffusion Models for Robust Channel Estimation", TBA.

Last update: Dec 22, 2022

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Deep Learning diffusion-channels

Overview

diffusion-channels

Source code for paper "Deep Diffusion Models for Robust Channel Estimation".

Generic flow:

Use 'matlab/main.mat' to generate training, validation and test channels.
Use 'train.py' to train a deep diffusion model for channel estimation.
Use 'hyperparam_tuning.py' to find 'beta' and 'N'.
Use 'inference.py' to perform inference.

Full credits for the ncsnv2 repository go to: https://github.com/utcsilab/diffusion-channels/tree/main/ncsnv2

Owner

The University of Texas Computational Sensing and Imaging Lab

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Source code for paper "Deep Diffusion Models for Robust Channel Estimation", TBA.

Related tags

Overview

diffusion-channels

Owner

The University of Texas Computational Sensing and Imaging Lab

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