Technical Program

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