268 citations · 581 across the 35 of their papers we have counts for
14 papers · 1 filter
Proceedings of the fourth "international Traveling Workshop on Interactions between low-complexity data models and Sensing Techniques" (iTWIST'18)
Sandrine Anthoine, Yannick Boursier, Laurent Jacques
The iTWIST workshop series aim at fostering collaboration between international scientific teams for developing new theories, applications and generalizations of low-complexity mod…
An extreme bit-rate reduction scheme for 2D radar localization
Thomas Feuillen, Luc Vandendorpe, Laurent Jacques
In this paper, we further expand on the work in [1] that focused on the localization of targets in a 2D space using 1-bit dithered measurements coming from a 2 receiving antennae r…
Compressive Classification (Machine Learning without learning)
Vincent Schellekens, Laurent Jacques
Compressive learning is a framework where (so far unsupervised) learning tasks use not the entire dataset but a compressed summary (sketch) of it. We propose a compressive learning…
Reference-less algorithm for circumstellar disks imaging
Benoît Pairet, Faustine Cantalloube, Laurent Jacques
Circumstellar disks play a key role in the understanding of stellar systems. Direct imaging of such extended structures is a challenging task. Current post-processing techniques, f…
Quantity over Quality: Dithered Quantization for Compressive Radar Systems
Thomas Feuillen, Chunlei Xu, Jérôme Louveaux +2
In this paper, we investigate a trade-off between the number of radar observations (or measurements) and their resolution in the context of radar range estimation. To this end, we…
Compressive Sampling Approach for Image Acquisition with Lensless Endoscope
Stéphanie Guérit, Siddharth Sivankutty, Camille Scotté +3
The lensless endoscope is a promising device designed to image tissues in vivo at the cellular scale. The traditional acquisition setup consists in raster scanning during which the…