Sampling Signals on Graphs: From Theory to Applications

Yuichi Tanaka; Yonina C. Eldar; Antonio Ortega; Gene Cheung

doi:10.1109/MSP.2020.3016908

Sampling Signals on Graphs: From Theory to Applications

Yuichi Tanaka
, Yonina C. Eldar
, Antonio Ortega
, Gene Cheung

Department of Computer Science and Applied Mathematics

Weizmann Institute of Science

Research output: Contribution to journal › Article › peer-review

Abstract

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.

Original language	English
Article number	9244650
Pages (from-to)	14-30
Number of pages	17
Journal	IEEE Signal Processing Magazine
Volume	37
Issue number	6
DOIs	https://doi.org/10.1109/MSP.2020.3016908
State	Published - Nov 2020

ASJC Scopus subject areas

Signal Processing
Electrical and Electronic Engineering
Applied Mathematics

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10.1109/MSP.2020.3016908

https://arxiv.org/abs/2003.03957License: Other

Cite this

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title = "Sampling Signals on Graphs: From Theory to Applications",

abstract = "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.",

author = "Yuichi Tanaka and Eldar, \{Yonina C.\} and Antonio Ortega and Gene Cheung",

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year = "2020",

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doi = "10.1109/MSP.2020.3016908",

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AU - Cheung, Gene

PY - 2020/11

Y1 - 2020/11

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AB - 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.

UR - https://www.scopus.com/pages/publications/85096304939

U2 - 10.1109/MSP.2020.3016908

DO - 10.1109/MSP.2020.3016908

M3 - مقالة

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JO - IEEE Signal Processing Magazine

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IS - 6

M1 - 9244650

ER -

Sampling Signals on Graphs: From Theory to Applications

Abstract

ASJC Scopus subject areas

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