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20162025
most citedVortex Waves and Channel Capacity: Hopes and Reality

44 citations · 85 across the 27 of their papers we have counts for

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Showing 2022Show all

12 papers · 1 filter

math.NA2022

Laplacian Filtered Loop-Star Decompositions and Quasi-Helmholtz Laplacian Filters: Definitions, Analysis, and Efficient Algorithms

Adrien Merlini, Clément Henry, Davide Consoli +3

Quasi-Helmholtz decompositions are fundamental tools in integral equation modeling of electromagnetic problems because of their ability of rescaling solenoidal and non-solenoidal c…

math.NA2022★ 1 cited

On a Calderón preconditioner for the symmetric formulation of the electroencephalography forward problem without barycentric refinements

Viviana Giunzioni, John E. Ortiz G., Adrien Merlini +2

We present a Calderón preconditioning scheme for the symmetric formulation of the forward electroencephalographic (EEG) problem that cures both the dense discretization and the hig…

math.NA2022

Fast Direct Solvers for Integral Equations at Low-Frequency Based on Operator Filtering

Clément Henry, Davide Consoli, Alexandre Dély +3

This paper focuses on fast direct solvers for integral equations in the low-to-moderate-frequency regime obtained by leveraging preconditioned first kind or second kind operators r…

math.NA2022

Stabilized Single Current Inverse Source Formulations Based on Steklov-Poincaré Mappings

Paolo Ricci, Ermanno Citraro, Adrien Merlini +1

The inverse source problem in electromagnetics has proved quite relevant for a large class of applications. In antenna diagnostics in particular, Love solutions are often sought at…

math.NA2022

On a Constrained Pseudoinverse for the Electromagnetic Inverse Source Problem

Ermanno Citraro, Alexandre Dély, Adrien Merlini +1

Inverse source approaches have shown their relevance for several applications in the past years. They rely on the solution of an ill-posed problem where near-field/current data is…

eess.SP2022

Brain-Computer Interfaces: Investigating the Transition from Visually Evoked to Purely Imagined Steady-State Potentials

Arturo Micheli, Davide Consoli, Adrien Merlini +2

Brain-Computer Interfaces (BCIs) based on Steady State Visually Evoked Potentials (SSVEPs) have proven effective and provide significant accuracy and information-transfer rates. Th…