The emerging field of signal processing on graphs: Extending high-dimensional data analysis to networks and other irregular domains

@article{Shuman2013TheEF,
  title={The emerging field of signal processing on graphs: Extending high-dimensional data analysis to networks and other irregular domains},
  author={David I. Shuman and Sunil K. Narang and Pascal Frossard and Antonio Ortega and Pierre Vandergheynst},
  journal={IEEE Signal Processing Magazine},
  year={2013},
  volume={30},
  pages={83-98}
}
In applications such as social, energy, transportation, sensor, and neuronal networks, high-dimensional data naturally reside on the vertices of weighted graphs. The emerging field of signal processing on graphs merges algebraic and spectral graph theoretic concepts with computational harmonic analysis to process such signals on graphs. In this tutorial overview, we outline the main challenges of the area, discuss different ways to define graph spectral domains, which are the analogs to the… 

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