We propose a novel sampling scheme that leverages graph signal processing, exploiting the low-dimensional (bandlimited) structure of the input as well as the ...
Nov 1, 2016 · We propose a novel sampling scheme that leverages graph signal processing, exploiting the low-dimensional (bandlimited) structure of the input as well as the ...
Dec 2, 2019 · In this context, we propose a novel sampling scheme that leverages graph signal processing, exploiting the low-dimensional (bandlimited) ...
Dec 9, 2024 · In this context, we propose a novel sampling scheme that leverages the bandlimitedness of the input as well as the transformation whose output ...
Sampling of signals belonging to a low-dimensional subspace has well-documented merits for dimensionality reduction, limited memory storage, ...
Sampling schemes typically build on a parsimonious model for the signals of interest, which in the case of graph signals is either smoothness or bandlimitedness.
This letter proposes an accompanied signal reconstruction strategy that reuses the approximated filter submatrix and is provably more robust than ...
Dec 13, 2024 · In this context, we propose a novel sampling scheme that leverages graph signal processing, exploiting the low-dimensional (bandlimited) ...
Sampling of bandlimited graph signals has well-documented merits for dimensionality reduction, affordable storage, and online processing of streaming ...
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Fernando Gama, Antonio G. Marques , Gonzalo Mateos, Alejandro Ribeiro: Rethinking Sketching as Sampling: A Graph Signal Processing Approach.