Publications associées à A Learning-Based Framework for Quantized Compressed Sensing

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Sampling Trajectories for Mobile Sensing

Martin Vetterli, Jayakrishnan Unnikrishnan

Classical sampling theory for sampling and reconstructing bandlimited fields in

\Re^d

addresses the problem of sampling on lattice points. We consider a generalization of this problem, in which one samples the field along

1

-dimensional spatial trajecto ...

2011

A Learning-Based Framework for Quantized Compressed Sensing

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SVM Active Learning Approach for Image Classification Using Spatial Information

Kinematics of age mixing in advection-dispersion models

Sparse image reconstruction on the sphere: implications of a new sampling theorem

Design of a parallel low power flash A/D converter for the sub-sampling IR-UWB receiver

Sampling and reconstructing diffusion fields in presence of aliasing

Learning Ridge Functions With Randomized Sampling In High Dimensions

Sampling Trajectories for Mobile Sensing

Learning Real-Time Perspective Patch Rectification

Distributed Sampling of Signals Linked by Sparse Filtering: Theory and Applications

Non-linear interpolation and adaptive sampling of scattering parameters

Design of a parallel low power flash A/D converter for the sub-sampling IR-UWB receiver

Learning Real-Time Perspective Patch Rectification

Sparse image reconstruction on the sphere: implications of a new sampling theorem

Learning Ridge Functions With Randomized Sampling In High Dimensions

SVM Active Learning Approach for Image Classification Using Spatial Information

Kinematics of age mixing in advection-dispersion models

Sampling and reconstructing diffusion fields in presence of aliasing

Sampling Trajectories for Mobile Sensing

Distributed Sampling of Signals Linked by Sparse Filtering: Theory and Applications

Non-linear interpolation and adaptive sampling of scattering parameters