109 citations · 287 across the 16 of their papers we have counts for
5 papers · 2 filters
Node-Adaptive Regularization for Graph Signal Reconstruction
Maosheng Yang, Mario Coutino, Geert Leus +1
A critical task in graph signal processing is to estimate the true signal from noisy observations over a subset of nodes, also known as the reconstruction problem. In this paper, w…
Online Time-Varying Topology Identification via Prediction-Correction Algorithms
Alberto Natali, Mario Coutino, Elvin Isufi +1
Signal processing and machine learning algorithms for data supported over graphs, require the knowledge of the graph topology. Unless this information is given by the physics of th…
Topology-Aware Joint Graph Filter and Edge Weight Identification for Network Processes
Alberto Natali, Mario Coutino, Geert Leus
Data defined over a network have been successfully modelled by means of graph filters. However, although in many scenarios the connectivity of the network is known, e.g., smart gri…
Submodularity in Action: From Machine Learning to Signal Processing Applications
Ehsan Tohidi, Rouhollah Amiri, Mario Coutino +3
Submodularity is a discrete domain functional property that can be interpreted as mimicking the role of the well-known convexity/concavity properties in the continuous domain. Subm…
Joint blind calibration and time-delay estimation for multiband ranging
Tarik Kazaz, Mario Coutino, Gerard J. M. Janssen +1
In this paper, we focus on the problem of blind joint calibration of multiband transceivers and time-delay (TD) estimation of multipath channels. We show that this problem can be f…