268 citations · 1.4k across the 80 of their papers we have counts for
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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…
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…
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…
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…