Graph Signal Processing: Overview, Challenges, and Applications.

Antonio Ortega,Pascal Frossard,Jelena Kovacevic,José M. F. Moura,Pierre Vandergheynst

Proceedings of the IEEE（2018）

引用 1627|浏览721

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摘要

Research in graph signal processing (GSP) aims to develop tools for processing data defined on irregular graph domains. In this paper, we first provide an overview of core ideas in GSP and their connection to conventional digital signal processing, along with a brief historical perspective to highlight how concepts recently developed in GSP build on top of prior research in other areas. We then su...

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关键词

Signal processing,Laplace equations,Graph theory,Machine learning,Data models,Social network services,Sampling methods,Graphical models

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