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Sampling Signals on Graphs: From Theory to Applications

机译:图形上的采样信号:从理论到应用

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摘要

The study of sampling signals on graphs, with the goal of building an analog of sampling for standard signals in the time and spatial domains, has attracted considerable attention recently. Beyond adding to the growing theory on graph signal processing (GSP), sampling on graphs has various promising applications. In this article, we review the current progress on sampling over graphs, focusing on theory and potential applications.
机译:在图表上采样信号的研究,目的是在时间和空间域中建立标准信号的模拟的目标,最近引起了相当大的关注。除了在图形信号处理(GSP)上的越来越多的理论之外,图形上的采样具有各种有前途的应用。在本文中,我们审查了对图表采样的当前进展,专注于理论和潜在应用。

著录项

  • 来源
    《IEEE Signal Processing Magazine》 |2020年第6期|14-30|共17页
  • 作者单位

    Tokyo Univ Agr & Technol Dept Elect Engn & Comp Sci Tokyo Japan|Japan Sci & Technol Agcy Saitama Japan;

    Weizmann Inst Sci Dept Math & Comp Sci Ctr Biomed Engn & Signal Proc Rehovot Israel|MIT Cambridge MA 02139 USA|Broad Inst Cambridge MA USA|Duke Univ Durham NC 27706 USA|Stanford Univ Stanford CA 94305 USA|Israel Acad Sci & Humanities Jerusalem Israel|European Assoc Signal Proc Lausanne Switzerland;

    European Assoc Signal Proc Lausanne Switzerland|Univ Southern Calif Elect & Comp Engn Los Angeles CA 90007 USA|Assoc Comp Machinery New York NY USA|Asia Pacific Signal & Informat Proc Assoc Hong Kong Peoples R China;

    York Univ Toronto ON Canada;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Graphical models; Hilbert space; Manganese; Signal sampling; Frequency-domain analysis; Symmetric matrices;

    机译:图形模型;希尔伯特空间;锰;信号采样;频域分析;对称矩阵;

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