Author

P. Di Lorenzo

2 papers indexed here

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Preprint Aug 2026

Sheaf-theoretic Signal Processing on Graphs: Spectral Theory, Filtering, and Sampling

This is the first paper to develop a unified sheaf signal processing (SSP) framework on network sheaves, extending the fundamental operations of signal processing, namely spectral analysis, filtering, and sampling, to heterogeneous local spaces.

Gabriele D’Acunto, Leonardo Di Nino, P. Di Lorenzo et al. · 0 citations

Preprint Aug 2026

Structured Sheaf Learning of Consistent Connection Graphs

Structured Connection Graph Learning (SCGL), a block-coordinate algorithm that combines closed-form updates, manifold projections, and spectral constraints, and converges to stationary points of the resulting nonconvex problem, is developed.

Leonardo Di Nino, Gabriele D’Acunto, Sergio Barbarossa et al. · 0 citations