168 search results - page 29 / 34 » Bayesian Compressive Sensing for clustered sparse signals |
IGARSS
2009
13 years 5 months ago
2009
Finding an accurate sparse approximation of a spectral vector described by a linear model, when there is available a library of possible constituent signals (called endmembers or ...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
We show that the exact recovery of sparse perturbations on the coefficient matrix in overdetermined Least Squares problems is possible for a large class of perturbation structure...
ICASSP
2009
IEEE
14 years 2 months ago
2009
IEEE
We propose a new approach to adaptive system identification when the system model is sparse. The approach applies the ℓ1 relaxation, common in compressive sensing, to improve t...
ICASSP
2010
IEEE
13 years 6 months ago
2010
IEEE
In recent years, sparse representation originating from signal compressed sensing theory has attracted increasing interest in computer vision research community. However, to our b...
CDC
2010
IEEE
13 years 2 months ago
2010
IEEE
Abstract-- Recovering or estimating the initial state of a highdimensional system can require a potentially large number of measurements. In this paper, we explain how this burden ...