Skip to main content
U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

Skip to content
  • Feedback

    • Noise Datasets for Evaluating Deep Generative Models

    Metadata Updated: February 1, 2024

    Synthetic training and test datasets for experiments on deep generative modeling of noise time series. Consists of data for the following noise types: 1) band-limited thermal noise, i.e., bandpass filtered white Gaussian noise, 2) power law noise, including fractional Gaussian noise (FGN), fractional Brownian motion (FBM), and fractionally differenced white noise (FDWN), 3) generalized shot noise, 4) impulsive noise, including Bernoulli-Gaussian (BG) and symmetric alpha stable (SAS) distributions. Documentation of simulation methods and experiments with Generative Adversarial Networks (GANs) are given in the paper "Data-Driven Modeling of Noise Time Series with Convolutional Generative Adversarial Networks" and the associated software; see references below.

    Access & Use Information

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

    Downloads & Resources

    References

    https://doi.org/10.1088/2632-2153/acee44
    https://github.com/usnistgov/NoiseGAN

    Dates

    Metadata Created Date June 27, 2023
    Metadata Updated Date February 1, 2024
    Data Update Frequency irregular

    Metadata Source

    Harvested from NIST

    Other Data Resources

    Additional Metadata

    Resource Type Dataset
    Metadata Created Date June 27, 2023
    Metadata Updated Date February 1, 2024
    Publisher National Institute of Standards and Technology
    Maintainer
    Identifier ark:/88434/mds2-3034
    Data First Published 2023-06-22
    Language en
    Data Last Modified 2023-06-07 00:00:00
    Category Advanced Communications:Wireless (RF), Mathematics and Statistics:Image and signal processing, Mathematics and Statistics:Modeling and simulation research
    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 f300dde0-89ee-4f5b-b3d3-111763f741e1
    Harvest Source Id 74e175d9-66b3-4323-ac98-e2a90eeb93c0
    Harvest Source Title NIST
    Homepage URL https://data.nist.gov/od/id/mds2-3034
    License https://www.nist.gov/open/license
    Program Code 006:045
    Related Documents https://doi.org/10.1088/2632-2153/acee44, https://github.com/usnistgov/NoiseGAN
    Source Datajson Identifier True
    Source Hash 417a82837809e293bf31e430d273177bc50417d3042e1562e498cd1034fe2624
    Source Schema Version 1.1

    Didn't find what you're looking for? Suggest a dataset here.