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    • Data for Modeling OFDM Communication Signals with Generative Adversarial Networks

    Metadata Updated: July 29, 2022

    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)

    Access & Use Information

    Public: This dataset is intended for public access and use. License: See this page for license information.

    Downloads & Resources

    Dates

    Metadata Created Date January 24, 2022
    Metadata Updated Date July 29, 2022
    Data Update Frequency irregular

    Metadata Source

    Harvested from NIST

    Other Data Resources

    Additional Metadata

    Resource Type Dataset
    Metadata Created Date January 24, 2022
    Metadata Updated Date July 29, 2022
    Publisher National Institute of Standards and Technology
    Maintainer
    Identifier ark:/88434/mds2-2532
    Data First Published 2021-06-29
    Language en
    Data Last Modified 2022-01-21 00:00:00
    Category Advanced Communications:Wireless (RF), Mathematics and Statistics:Image and signal processing
    Public Access Level public
    Data Update Frequency irregular
    Bureau Code 006:55
    Metadata Context https://project-open-data.cio.gov/v1.1/schema/data.json
    Schema Version https://project-open-data.cio.gov/v1.1/schema
    Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
    Harvest Object Id 6b4ca741-0296-4eae-8762-d0c077b70405
    Harvest Source Id 74e175d9-66b3-4323-ac98-e2a90eeb93c0
    Harvest Source Title NIST
    Homepage URL https://data.nist.gov/od/id/mds2-2532
    License https://www.nist.gov/open/license
    Program Code 006:045
    Replaces ark:/88434/mds2-2428
    Source Datajson Identifier True
    Source Hash 19442398f42e71faf9bff08ca692145fe85e4e41
    Source Schema Version 1.1

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