Sampling Signals on Graphs: From Theory to Applications
Sampling Signals on Graphs: From Theory to Applications
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DOI：
10.1109/msp.2020.3016908
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发表时间：
2020-03
影响因子：
14.9
通讯作者：
Yuichi Tanaka;Yonina C. Eldar;Antonio Ortega;Gene Cheung
中科院分区：
文献类型：
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作者：
Yuichi Tanaka;Yonina C. Eldar;Antonio Ortega;Gene Cheung
图上采样信号的研究，其目标是建立一个模拟的采样标准信号在时间和空间域，近年来引起了相当大的关注。除了增加图形信号处理（GSP）的增长理论，图上的采样有各种有前途的应用。本文综述了图上采样的研究现状，重点介绍了图上采样的理论和应用。
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.