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Sparse Signal Recovery with Temporally Correlated Source Vectors Using
  Sparse Bayesian Learning

Sparse Signal Recovery with Temporally Correlated Source Vectors Using Sparse Bayesian Learning

19 February 2011
Zhilin Zhang
Bhaskar D. Rao
ArXivPDFHTML

Papers citing "Sparse Signal Recovery with Temporally Correlated Source Vectors Using Sparse Bayesian Learning"

7 / 7 papers shown
Title
Exploiting Correlation in Sparse Signal Recovery Problems: Multiple
  Measurement Vectors, Block Sparsity, and Time-Varying Sparsity
Exploiting Correlation in Sparse Signal Recovery Problems: Multiple Measurement Vectors, Block Sparsity, and Time-Varying Sparsity
Zhilin Zhang
Bhaskar D. Rao
40
21
0
04 May 2011
Iterative Reweighted Algorithms for Sparse Signal Recovery with
  Temporally Correlated Source Vectors
Iterative Reweighted Algorithms for Sparse Signal Recovery with Temporally Correlated Source Vectors
Zhilin Zhang
Bhaskar D. Rao
67
38
0
28 Apr 2011
The composite absolute penalties family for grouped and hierarchical
  variable selection
The composite absolute penalties family for grouped and hierarchical variable selection
P. Zhao
Guilherme V. Rocha
Bin Yu
154
672
0
02 Sep 2009
Simultaneous support recovery in high dimensions: Benefits and perils of
  block $\ell_1/\ell_\infty$-regularization
Simultaneous support recovery in high dimensions: Benefits and perils of block ℓ1/ℓ∞\ell_1/\ell_\inftyℓ1​/ℓ∞​-regularization
S. Negahban
Martin J. Wainwright
209
65
0
05 May 2009
Modified-CS: Modifying Compressive Sensing for Problems with Partially
  Known Support
Modified-CS: Modifying Compressive Sensing for Problems with Partially Known Support
Namrata Vaswani
Wei Lu
576
547
0
30 Mar 2009
Kalman Filtered Compressed Sensing
Kalman Filtered Compressed Sensing
Namrata Vaswani
51
318
0
04 Apr 2008
Enhancing Sparsity by Reweighted L1 Minimization
Enhancing Sparsity by Reweighted L1 Minimization
Emmanuel J. Candes
M. Wakin
Stephen P. Boyd
161
5,027
0
10 Nov 2007
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