Sampling Signals on Graphs: From Theory to Applications
Yuichi Tanaka, Yonina C. Eldar, Antonio J. Ortega, Gene Cheung · IEEE Signal Processing Magazine · 2020
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.