Publications associées à Sampling signals with finite rate of innovation

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Random sampling of bandlimited signals on graphs

Pierre Vandergheynst, Rémi Gribonval, Gilles Puy, Nicolas Tremblay

We study the problem of sampling

k

-bandlimited signals on graphs. We propose two sampling strategies that consist in selecting a small subset of nodes at random. The first strategy is non-adaptive, \ie, independent of the graph structure, and its perform ...

2015

Sampling signals with finite rate of innovation

Graph Chatbot

Chattez avec Graph Search

PCA using graph total variation

Compressed delay-and-sum beamforming for ultrafast ultrasound imaging

Sampling strategies and post-processing methods for increasing the time resolution of organic aerosol measurements requiring long sample-collection times

Locally differentially-private distribution estimation

On Selection of Samples in Algebraic Attacks and a New Technique to Find Hidden Low Degree Equations

Riemannian Optimization For High-Dimensional Tensor Completion

Learning Data Triage: Linear Decoding Works for Compressive MRI

Generalized Poisson Summation Formula for Tempered Distributions

Random sampling of bandlimited signals on graphs

Tutorial: Sub-Nyquist artifacts and sampling moiré effects

Sampling strategies and post-processing methods for increasing the time resolution of organic aerosol measurements requiring long sample-collection times

Compressed delay-and-sum beamforming for ultrafast ultrasound imaging

PCA using graph total variation

On Selection of Samples in Algebraic Attacks and a New Technique to Find Hidden Low Degree Equations

Locally differentially-private distribution estimation

Generalized Poisson Summation Formula for Tempered Distributions

Random sampling of bandlimited signals on graphs

Tutorial: Sub-Nyquist artifacts and sampling moiré effects

Riemannian Optimization For High-Dimensional Tensor Completion

Learning Data Triage: Linear Decoding Works for Compressive MRI