ICASSP
2011
IEEE
13 years 6 months ago
2011
IEEE
The aim of compressed sensing is to recover attributes of sparse signals using very few measurements. Given an overall bit budget for quantization, this paper demonstrates that th...
ICASSP
2009
IEEE
14 years 19 days ago
2009
IEEE
This paper studies compressed sensing for the recovery of non-negative sparse vectors from a smaller number of measurements than the ambient dimension of the unknown vector. We fo...
CORR
2008
Springer
14 years 3 months ago
2008
Springer
We study the information-theoretic limits of exactly recovering the support set of a sparse signal, using noisy projections defined by various classes of measurement matrices. Our ...