Data for Modeling OFDM Communication Signals with Generative Adversarial Networks
Description
This repository contains results for experiments on generative modeling of synthetic Orthogonal-Frequency Division Multiplexing (OFDM) communication signals. (This record supersedes Software and Data for Modeling OFDM Communication Signals with Generative Adversarial Networks, formerly at https://doi.org/10.18434/mds2-2428)
Resources
| Name |
Format |
Description |
Link |
|
0 |
usnistgov GitHub page for software |
https://github.com/usnistgov/OFDM-GAN |
|
19 |
experiment_results.tar.gz |
https://data.nist.gov/od/ds/ark:/88434/mds2-2532/experiment_results.tar.gz |
|
0 |
|
https://doi.org/10.18434/mds2-2532 |
Tags
- generative-adversarial-network
- wireless-communications
- machine-learning