Publications associées à Non-linear interpolation and adaptive sampling of scattering parameters

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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

Non-linear interpolation and adaptive sampling of scattering parameters

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Chattez avec Graph Search

Sampling at unknown locations: Uniqueness and reconstruction under constraints

Safe Adaptive Importance Sampling

Genetic Optimization of Training Sets for Improved Machine Learning Models of Molecular Properties

Quasi-random numbers for copula models

Attributing Aliasing Artifacts in Dirty Intensity Fields to their Parent Source

Shapes from Pixels

Sampling Sparse Signals on the Sphere: Algorithms and Applications

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

Random sampling of bandlimited signals on graphs

Sampling at unknown locations: Uniqueness and reconstruction under constraints

Safe Adaptive Importance Sampling

Genetic Optimization of Training Sets for Improved Machine Learning Models of Molecular Properties

Attributing Aliasing Artifacts in Dirty Intensity Fields to their Parent Source

Shapes from Pixels

Random sampling of bandlimited signals on graphs

Quasi-random numbers for copula models

Sampling Sparse Signals on the Sphere: Algorithms and Applications

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