Laurent Jacques
Laurent Jacques
Home
Posts
Publications
Events
Projects
Team
Teaching
MSc Theses
Contact
Light
Dark
Automatic
talk
Dithered quantized compressive sensing with arbitrary RIP matrices
Abstract: Quantized compressive sensing (QCS) deals with the problem of coding compressive measurements of low-complexity signals (e.g., sparse vectors in a given basis, low-rank matrices) with quantized, finite precision representations, i.
Compressed Sensing and Quantization: a Compander Approach
Joint work with D. Hammond (U. Oregon, USA) and J. Fadili (GREYC, Caen, France).
Cite
×