Author

Sandra Saliani

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Preprint Sep 2026

Uniform Chebyshev approximations of functions satisfying a variation-type condition: reconstruction of time-varying signals on graphs

We prove uniform approximation theorems for Chebyshev expansions of continuous functions of two variables. Under a variation-type condition on the square $[-1,1]^2$, a continuous function admits a uniformly convergent Chebyshev expansion in the first variable whose coefficients are continuous functions of the second va...

D. Bianchi, Sandra Saliani, Dimitrios Vavitsas · 0 citations

Preprint Sep 2026

Dynamical Sampling in Graph Paley--Wiener Spaces

We study dynamical sampling for graph signals using the spectral theory of the normalized graph Laplacian. Graph Paley-Wiener spaces GPW_w are defined as spectral subspaces associated with a bandwidth parameter w, and reconstruction is studied from measurements generated by iterates of bounded operators leaving these s...

I. M. Bulai, C. Cabrelli, Elena Cordero et al. · 0 citations