172 search results - page 9 / 35 » Support Recovery of Sparse Signals |
CIMAGING
2009
14 years 10 months ago
2009
The surface reflectance function of many common materials varies slowly over the visible wavelength range. For this reason, linear models with a small number of bases (5-8) are fr...
ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
We provide two compressive sensing (CS) recovery algorithms based on iterative hard-thresholding. The algorithms, collectively dubbed as algebraic pursuits (ALPS), exploit the res...
PIMRC
2010
IEEE
14 years 7 months ago
2010
IEEE
In this paper we focus on compressive sampling (CS) based ultra wideband (UWB) differential detection. We formulate an optimization problem to jointly recover the sparse received U...
ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
Assuming that a set of source signals is sparsely representable in a given dictionary, we show how their sparse recovery fails whenever we can only measure a convolved observation...
ICASSP
2009
IEEE
15 years 4 months ago
2009
IEEE
In this paper, we show how two classical sparse recovery algorithms, Orthogonal Matching Pursuit and Basis Pursuit, can be naturally extended to recover block-sparse solutions for...