Sciweavers

142 search results - page 2 / 29
» Recovery of Sparsely Corrupted Signals
Sort
View
CORR
2011
Springer
183views Education» more  CORR 2011»
12 years 11 months ago
Sparse Signal Recovery with Temporally Correlated Source Vectors Using Sparse Bayesian Learning
— We address the sparse signal recovery problem in the context of multiple measurement vectors (MMV) when elements in each nonzero row of the solution matrix are temporally corre...
Zhilin Zhang, Bhaskar D. Rao
CORR
2008
Springer
98views Education» more  CORR 2008»
13 years 4 months ago
Information-theoretic limits on sparse signal recovery: Dense versus sparse measurement matrices
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 ...
Wei Wang, Martin J. Wainwright, Kannan Ramchandran
CORR
2010
Springer
104views Education» more  CORR 2010»
13 years 4 months ago
Support Recovery of Sparse Signals
We study the tradeoffs between the number of measurements, the signal sparsity level, and the measurement noise level for exact support recovery of sparse signals via random noisy ...
Yuzhe Jin, Young-Han Kim, Bhaskar D. Rao
CIMAGING
2008
142views Hardware» more  CIMAGING 2008»
13 years 6 months ago
Greedy signal recovery and uncertainty principles
This paper seeks to bridge the two major algorithmic approaches to sparse signal recovery from an incomplete set of linear measurements
Deanna Needell, Roman Vershynin
ICASSP
2011
IEEE
12 years 8 months ago
TLS-FOCUSS for sparse recovery with perturbed dictionary
In this paper, we propose a new algorithm, TLS-FOCUSS, for sparse recovery for large underdetermined linear systems, based on total least square (TLS) method and FOCUSS(FOCal Unde...
Xuebing Han, Hao Zhang, Huadong Meng