172 search results - page 6 / 35 » Support Recovery of Sparse Signals |
ICIP
2010
IEEE
13 years 8 months ago
2010
IEEE
The 2- 1 compressed sensing minimization problem can be solved efficiently by gradient projection. In imaging applications, the signal of interest corresponds to nonnegative pixel...
CORR
2011
Springer
2011
Springer
Iterative Reweighted Algorithms for Sparse Signal Recovery with Temporally Correlated Source Vectors
13 years 5 months ago
Iterative reweighted algorithms, as a class of algorithms for sparse signal recovery, have been found to have better performance than their non-reweighted counterparts. However, f...
ICASSP
2008
IEEE
14 years 5 months ago
2008
IEEE
We examine the application of current research in sparse signal recovery to the problem of channel estimation. Specifically, using an Orthogonal Frequency Division Multiplexed (O...
ICASSP
2011
IEEE
13 years 2 months ago
2011
IEEE
The 2- 1 sparse signal minimization problem can be solved efficiently by gradient projection. In many applications, the signal to be estimated is known to lie in some range of va...
TSP
2010
13 years 5 months ago
2010
We present two simple methods for recovering sparse signals from a series of noisy observations. The theory of compressed sensing (CS) requires solving a convex constrained minimiz...