99 citations · 305 across the 23 of their papers we have counts for
7 papers · 1 filter
Graph Diffusion-Advection Operator for Directed Graph Signal Processing
CHM. Chan, A. Cionca, V. Škultéty +1
Graph signal processing (GSP) provides a framework for analyzing data on irregular domains, with applications in neuroscience, finance, chemistry, and social sciences. Classical GS…
Optimal Wiener-Filter Solutions for Denoising of Graph Signals on Directed Graphs
Chun Hei Michael Chan, Alexandre Cionca, Dimitri Van De Ville
Graph signal processing has opened new avenues to the canonical denoising problem in interesting settings. Specifically, here we propose a Wiener-filter solution for graph signals…
Topological Signal Processing: An Application-Oriented Tutorial
Flavia Petruso, Maria Giulia Preti, Dimitri Van De Ville
Many modern datasets are large and carry complex structural relationships. Graph-based methods have traditionally been used to represent networked data, modeling individual element…
From Nano to Macro: Overview of the IEEE Bio Image and Signal Processing Technical Committee
Selin Aviyente, Alejandro Frangi, Erik Meijering +6
The Bio Image and Signal Processing (BISP) Technical Committee (TC) of the IEEE Signal Processing Society (SPS) promotes activities within the broad technical field of biomedical i…
Community-Aware Graph Signal Processing
Miljan Petrovic, Raphael Liegeois, Thomas A. W. Bolton +1
The emerging field of graph signal processing (GSP) allows to transpose classical signal processing operations (e.g., filtering) to signals on graphs. The GSP framework is generall…
Domain-Informed Spline Interpolation
Hamid Behjat, Zafer Doğan, Dimitri Van De Ville +1
Standard interpolation techniques are implicitly based on the assumption that the signal lies on a single homogeneous domain. In contrast, many naturally occurring signals lie on a…
Augmented Slepians: Bandlimited Functions that Counterbalance Energy in Selected Intervals
Robin Demesmaeker, Maria Giulia Preti, Dimitri Van De Ville
Slepian functions provide a solution to the optimization problem of joint time-frequency localization. Here, this concept is extended by using a generalized optimization criterion…