Graph Signal Processing: Overview, Challenges, and Applications

@article{Ortega2018GraphSP,
  title={Graph Signal Processing: Overview, Challenges, and Applications},
  author={Antonio Ortega and Pascal Frossard and Jelena Kovacevic and Jos{\'e} M. F. Moura and Pierre Vandergheynst},
  journal={Proceedings of the IEEE},
  year={2018},
  volume={106},
  pages={808-828}
}
Research in graph signal processing (GSP) aims to develop tools for processing data defined on irregular graph domains. [] Key Method We then summarize recent advances in developing basic GSP tools, including methods for sampling, filtering, or graph learning. Next, we review progress in several application areas using GSP, including processing and analysis of sensor network data, biological data, and applications to image processing and machine learning.

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