Fourier could be a Data Scientist: from Graph Fourier Transform to Signal Processing on Graphs

Benjamin Ricaud (1) , Pierre Borgnat (2) , Nicolas Tremblay (3) , Paulo Gonçalves (4) , Pierre Vandergheynst (1)

1 LTS2 - EPFL
2 Phys-ENS - Laboratoire de Physique de l'ENS Lyon
3 GIPSA-lab - Grenoble Images Parole Signal Automatique
4 DANTE - Dynamic Networks : Temporal and Structural Capture Approach

Mots clés: Data Science; Graphs Signal Processing; Wavelets; Science des données; Machine Learning Mots-clés : Traitement du signal sur graphe; Apprentissage machine; Transformée de Fourier; Ondelettes; Fourier Transform

Domaines: Traitement du signal et de l'image [eess.SP]

Benjamin Ricaud, Pierre Borgnat, Nicolas Tremblay, Paulo Gonçalves, Pierre Vandergheynst. Fourier could be a Data Scientist: from Graph Fourier Transform to Signal Processing on Graphs. Comptes Rendus. Physique, 2019, pp.474-488. ⟨10.1016/j.crhy.2019.08.003⟩. ⟨hal-02304584⟩