MA5b: Graph Signal Processing: Advances in Sampling, Filtering, Reconstruction (Invited) |
Session Type: Oral |
Time: Monday, November 4, 10:15 - 11:55 |
Location: Scripps |
Session Chair: Antonio G. Marqués, King Juan Carlos University |
MA5b-1: DISTRIBUTED ADAPTIVE LEARNING OF GRAPH PROCESSES VIA IN-NETWORK SUBSPACE PROJECTIONS |
Paolo Di Lorenzo; Sapienza University of Rome |
Sergio Barbarossa; Sapienza University of Rome |
Stefania Sardellitti; Sapienza University of Rome |
MA5b-2: ON DISTRIBUTED CONSENSUS BY A CASCADE OF GENERALIZED GRAPH FILTERS |
Mario Coutino; Delft University of Technology |
Geert Leus; Delft University of Technology |
MA5b-3: AN EFFICIENT ALGORITHM FOR GRAPH LAPLACIAN OPTIMIZATION BASED ON EFFECTIVE RESISTANCES |
Eduardo Pavez; University of Southern California |
Antonio Ortega; University of Southern California |
MA5b-4: NETWORK RECONSTRUCTION FROM GRAPH-STATIONARY SIGNALS WITH HIDDEN VARIABLES |
Andrei Buciulea; King Juan Carlos University |
Samuel Rey; King Juan Carlos University |
Cristobal Cabrera; King Juan Carlos University |
Antonio Marques; King Juan Carlos University |