Graph Signal Processing

@inproceedings{Ortega2017GraphSP,
  title={Graph Signal Processing},
  author={Antonio Ortega and Pascal Frossard and Jelena Kovacevic and Jos{\'e} M. F. Moura and Pierre Vandergheynst},
  year={2017}
}
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. We then summarize recent developments 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… CONTINUE READING

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