268 citations · 1.4k across the 80 of their papers we have counts for
16 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…
Compressive Single-pixel Fourier Transform Imaging using Structured Illumination
Amirafshar Moshtaghpour, José M. Bioucas-Dias, Laurent Jacques
Single Pixel (SP) imaging is now a reality in many applications, e.g., biomedical ultrathin endoscope and fluorescent spectroscopy. In this context, many schemes exist to improve t…
STIM map: detection map for exoplanets imaging beyond asymptotic Gaussian residual speckle noise
Benoît Pairet, Faustine Cantalloube, Carlos A. Gomez Gonzalez +2
Direct imaging of exoplanets is a challenging task as it requires to reach a high contrast at very close separation to the star. Today, the main limitation in the high-contrast ima…
Compressive Hyperspectral Imaging: Fourier Transform Interferometry meets Single Pixel Camera
Amirafshar Moshtaghpour, José M. Bioucas-Dias, Laurent Jacques
This paper introduces a single-pixel HyperSpectral (HS) imaging framework based on Fourier Transform Interferometry (FTI). By combining a space-time coding of the light illuminatio…
1-bit Localization Scheme for Radar using Dithered Quantized Compressed Sensing
Thomas Feuillen, Chunlei Xu, Luc Vandendorpe +1
We present a novel scheme allowing for 2D target localization using highly quantized 1-bit measurements from a Frequency Modulated Continuous Wave (FMCW) radar with two receiving a…
Taking the edge off quantization: projected back projection in dithered compressive sensing
Chunlei Xu, Vincent Schellekens, Laurent Jacques
Quantized compressive sensing (QCS) deals with the problem of representing compressive signal measurements with finite precision representation, i.e., a mandatory process in any pr…
Quantized Compressive K-Means
Vincent Schellekens, Laurent Jacques
The recent framework of compressive statistical learning aims at designing tractable learning algorithms that use only a heavily compressed representation-or sketch-of massive data…
Multilevel Illumination Coding for Fourier Transform Interferometry in Fluorescence Spectroscopy
Amirafshar Moshtaghpour, Laurent Jacques
Fourier Transform Interferometry (FTI) is an interferometric procedure for acquiring HyperSpectral (HS) data. Recently, it has been observed that the light source highlighting a (b…
Multispectral Compressive Imaging Strategies using Fabry-Pérot Filtered Sensors
Kévin Degraux, Valerio Cambareri, Bert Geelen +2
This paper introduces two acquisition device architectures for multispectral compressive imaging. Unlike most existing methods, the proposed computational imaging techniques do not…
A Variable Density Sampling Scheme for Compressive Fourier Transform Interferometry
A. Moshtaghpour, L. Jacques, V. Cambareri +2
Fourier Transform Interferometry (FTI) is an appealing Hyperspectral (HS) imaging modality for many applications demanding high spectral resolution, e.g., in fluorescence microscop…
Quantized Compressive Sensing with RIP Matrices: The Benefit of Dithering
Chunlei Xu, Laurent Jacques
Quantized compressive sensing (QCS) deals with the problem of coding compressive measurements of low-complexity signals with quantized, finite precision representations, i.e., a ma…