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Graph Signal Processing - Accounting for Geometry in Data


2 April 2021

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Graph Signal Processing: Accounting for Geometry in Data


  • José M. F. Moura
  • Philip L. and Marsha Dowd University Professor
  • Electrical and Computer Engineering Department
  • Carnegie Mellon University


Data is now multimodal and unstructured, arising in many applications and formats. Graph Signal Processing (GSP), an expression coined in the last few years, structires the data by representing its underlying geometry with a graph. The nodes of the graph index the data, while its edges capture data dependencies. We present the basics of GSP with a brief historical overview, illustrate some of its concepts, recent developments, and extensions.

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