Data provided by National Institute of Standards and Technology
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)
About this Dataset
Updated: 2024-02-22
Metadata Last Updated:
2022-01-21 00:00:00
Date Created:
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Data Provided by:
Dataset Owner:
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| Title | 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) |
| Modified | 2022-01-21 00:00:00 |
| Publisher Name | National Institute of Standards and Technology |
| Contact | mailto:[email protected] |
| Keywords | generative adversarial network , machine learning , wireless communications |
{
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"title": "Data for Modeling OFDM Communication Signals with Generative Adversarial Networks",
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"theme": [
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