Abstract: The emerging field of signal processing on graphs plays a more and more important role in processing signals and information related to networks.

Abstract—The emerging field of signal processing on graphs plays a more and more important role in processing signals and information related to networks.

Sep 6, 2024 · Abstract—We introduce a novel uncertainty principle for generalized graph signals that extends classical time-frequency.

The emerging field of signal processing on graphs plays a more and more important role in processing signals and information related to networks.

Jul 11, 2024 · In this work, we study the problem of distributed sampling and interpolation for perfect reconstruction of graph signals.

In this paper, we propose a generalized sampling framework for graph signals based on the prior information in the GFRFT domain.

Jan 16, 2024 · Graph signal sampling and reconstruction techniques effectively reduce data dimensions while preserving the information and structure ...

In this paper, we study the generalized sampling framework of m-D graph signals based on prior knowledge. ... In the above framework, sampling and reconstruction ...

Missing: sampling | Show results with:sampling

Signal at each vertex is from an infinite dimensional separable Hilbert space. H = L2(Ω,µ). Maybe non-bandlimited in Ω direction (Shannon-Nyquist: ...