109 citations · 287 across the 16 of their papers we have counts for
6 papers · 1 filter
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…
How Does Momentum Help Frank Wolfe?
Bingcong Li, Mario Coutino, Georgios B. Giannakis +1
We unveil the connections between Frank Wolfe (FW) type algorithms and the momentum in Accelerated Gradient Methods (AGM). On the negative side, these connections illustrate why mo…
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…