5 papers
On the Sum of Random Samples with Bounded Pareto Distribution
Francesco Grassi, Angelo Coluccia
Heavy-tailed random samples, as well as their sum or average, are encountered in a number of signal processing applications in radar, communications, finance, and natural sciences.…
Resource Aware Multifidelity Active Learning for Efficient Optimization
Francesco Grassi, Giorgio Manganini, Michele Garraffa +1
Traditional methods for black box optimization require a considerable number of evaluations which can be time consuming, unpractical, and often unfeasible for many engineering appl…
A Time-Vertex Signal Processing Framework
Francesco Grassi, Andreas Loukas, Nathanaël Perraudin +1
An emerging way to deal with high-dimensional non-euclidean data is to assume that the underlying structure can be captured by a graph. Recently, ideas have begun to emerge related…
Towards stationary time-vertex signal processing
Nathanael Perraudin, Andreas Loukas, Francesco Grassi +1
Graph-based methods for signal processing have shown promise for the analysis of data exhibiting irregular structure, such as those found in social, transportation, and sensor netw…
Tracking Time-Vertex Propagation using Dynamic Graph Wavelets
Francesco Grassi, Nathanael Perraudin, Benjamin Ricaud
Graph Signal Processing generalizes classical signal processing to signal or data indexed by the vertices of a weighted graph. So far, the research efforts have been focused on sta…