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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

Repliement de spectre

Graph Chatbot

Chattez avec Graph Search

Fringe filtering technique based on local signal reconstruction using noise subspace inflation

On Minimal Trajectories for Mobile Sampling of Bandlimited Fields

Sub-Nyquist artifacts and sampling moiré effects, Part 2: Spectral-domain analysis

Tutorial: Sub-Nyquist artifacts and sampling moiré effects

A Fast Hadamard Transform for Signals with Sub-linear Sparsity in the Transform Domain

Image Reconstruction in K-Space from MR Data Encoded with Ambiguous Gradient Fields

MATHICSE Technical Report : Accelerated filtering on graphs using Lanczos method

Random sampling of bandlimited signals on graphs

Acquisition of multiple phase derivatives from a single frame in digital holographic interferometry

Jaggies as aliasing or reconstruction phenomena: a tutorial

Tutorial: Sub-Nyquist artifacts and sampling moiré effects

Sub-Nyquist artifacts and sampling moiré effects, Part 2: Spectral-domain analysis

Fringe filtering technique based on local signal reconstruction using noise subspace inflation

Random sampling of bandlimited signals on graphs

A Fast Hadamard Transform for Signals with Sub-linear Sparsity in the Transform Domain

MATHICSE Technical Report : Accelerated filtering on graphs using Lanczos method

Image Reconstruction in K-Space from MR Data Encoded with Ambiguous Gradient Fields

On Minimal Trajectories for Mobile Sampling of Bandlimited Fields

Acquisition of multiple phase derivatives from a single frame in digital holographic interferometry

Jaggies as aliasing or reconstruction phenomena: a tutorial