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).