118 citations · 405 across the 18 of their papers we have counts for
3 papers · 1 filter
Sampling and Recovery of Graph Signals
P. Di Lorenzo, S. Barbarossa, P. Banelli
The aim of this chapter is to give an overview of the recent advances related to sampling and recovery of signals defined over graphs. First, we illustrate the conditions for perfe…
Observing and Tracking Bandlimited Graph Processes
Elvin Isufi, Paolo Banelli, Paolo Di Lorenzo +1
One of the most crucial challenges in graph signal processing is the sampling of bandlimited graph signals, i.e., signals that are sparse in a well-defined graph Fourier domain. So…
Adaptive Graph Signal Processing: Algorithms and Optimal Sampling Strategies
Paolo Di Lorenzo, Paolo Banelli, Elvin Isufi +2
The goal of this paper is to propose novel strategies for adaptive learning of signals defined over graphs, which are observed over a (randomly time-varying) subset of vertices. We…