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GRASP: A Matlab Toolbox for Graph Signal Processing

Benjamin Girault 1, 2 Shrikanth Narayanan 1 Antonio Ortega 1 Paulo Gonçalves 2 Eric Fleury 3, 2
1 USC - University of Southern California
2 DANTE - Dynamic Networks : Temporal and Structural Capture Approach
Inria Grenoble - Rhône-Alpes, LIP - Laboratoire de l'Informatique du Parallélisme, IXXI - Institut Rhône-Alpin des systèmes complexes
3 IXXI - Institut Rhône-Alpin des systèmes complexes
Abstract : The GraSP toolbox aims at processing and visualizing graphs and graphs signal with ease. In the demo, we show those capabilities using several examples from the literature and from our own experiments.
Keywords : graph signal processing
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Conference papers
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https://hal.inria.fr/hal-01424804
Contributor : Eric Fleury <>
Submitted on : Tuesday, March 14, 2017 - 1:19:56 AM
Last modification on : Monday, February 10, 2020 - 12:17:19 PM
Document(s) archivé(s) le : Thursday, June 15, 2017 - 12:48:26 PM

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CNRS | INSA-LYON | TDS-MACS | LIP | INRIA | ENS-LYON | ANRGRAPHSIP | UGA | LABEX-MILYON | UNIV-LYON1 | UNIV-LYON2 | UNIV-LYON3 | INSA-GROUPE | UDL

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Benjamin Girault, Shrikanth Narayanan, Antonio Ortega, Paulo Gonçalves, Eric Fleury. GRASP: A Matlab Toolbox for Graph Signal Processing. 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Mar 2017, New Orleans, United States. pp.6574-6575, ⟨10.1109/ICASSP.2017.8005300⟩. ⟨hal-01424804⟩

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