Scientific article
Open access

Graph signal processing: foundations and emerging directions [from the guest editors]

Published inIEEE Signal Processing Magazine, vol. 37, no. 6, p. 11-13
Publication date2020

The articles in this special section focus on graph signal processing. Generically, the networks that sustain our societies can be understood as complex systems formed by multiple nodes, where global network behavior arises from local interactions between connected nodes. More succinctly, a network or a graph can be defined as a structure that encodes relationships between pairs of elements of a set. The simplicity of this definition drives the application of graphs and networks to a wide variety of disciplines, such as biology, medicine, psychology, sociology, economics, engineering, computer science, and so on.

  • Special issues and sections
  • Graphic models
  • Signal processing algorithms
  • Computer applications
Citation (ISO format)
MARQUES, Antonio G. et al. Graph signal processing: foundations and emerging directions [from the guest editors]. In: IEEE Signal Processing Magazine, 2020, vol. 37, n° 6, p. 11–13. doi: 10.1109/MSP.2020.3020715
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Article (Published version)
ISSN of the journal1053-5888

Technical informations

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