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Data Publication

Data for Modeling OFDM Communication Signals with Generative Adversarial Networks

Jack Sklar Author's orcid, Adam Wunderlich Author's orcid
Contact: Jack Sklar.
Identifier: doi:10.18434/mds2-2532
Version: 1.3... Revised: 2022-01-27

There is a more recent release of this resource available:    1.4.0

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)
Research Areas
NIST R&D: Advanced Communications: Wireless (RF)Mathematics and Statistics: Image and signal processing
Keywords: generative adversarial networkmachine learningwireless communications
These data are public.
Data and related material can be found at the following locations:
  Software for Modeling OFDM Communication Signals with Generative Adversarial Networks
usnistgov GitHub page for software
Version: 1.3... Revised: 2022-01-27

There is a more recent release of this resource available:    1.4.0

Cite this dataset
Jack Sklar, Adam Wunderlich (2022), Data for Modeling OFDM Communication Signals with Generative Adversarial Networks, National Institute of Standards and Technology, https://doi.org/10.18434/mds2-2532 (Accessed 2025-02-14)
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NERDm
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