Fetching the paper…
Reading the bibliography…
Recovering a sparse signal from an undersampled set of random linear measurements is the main problem of interest in compressed sensing.
Regression shrinkage and selection via the Lasso
R. Tibshirani · 1996
Earlier work this paper cites.
Atomic decomposition by basis pursuit
S. S. Chen, D. L. Donoho, and M. A. Saunders · 1998
Earlier work this paper cites.
Adaptive regression and model selection in data mining problems
S. Bakin · 1999
Earlier work this paper cites.
A sparse signal reconstruction perspective for source localization with sensor arrays
D. Malioutov, M. Cetin, and A. S. Willsky · 2005
Earlier work this paper cites.
Theoretical results on sparse representations of multiple-measurement vectors
J. Chen and X. Huo · 2006
Earlier work this paper cites.
Model selection and estimation in regression with grouped variables
M. Yuan and Y. Lin · 2006
Earlier work this paper cites.
Sparse solution of underdetermined linear equations by stagewise orthogonal matching pursuit
D. L. Donoho, I. Drori, Y. Tsaig, and J. L. Starck · 2006
Earlier work this paper cites.
Sparse MRI: The application of compressed sensing for rapid MR imaging
M. Lustig, D. L. Donoho, and J. Pauly · 2007
Earlier work this paper cites.
Compressive radar imaging
R. G. Baraniuk and P. Steeghs · 2007
Earlier work this paper cites.
Gradient projection for sparse reconstruction: Application to compressed sensing and other inverse problems
M. Figueiredo, R. Nowak, and S. J. Wright · 2007
Earlier work this paper cites.
A method for large-scale ℓ 1 \ell_{1} -regularized least squares
S. J. Kim, K. Koh, M. Lustig, S. Boyd, and D. Gorinevsky · 2007
Earlier work this paper cites.
Probing the pareto frontier for basis pursuit solutions
E. van den Berg and M. P. Friedlander · 2008
Earlier work this paper cites.
A compressed sensing technique for OFDM channel estimation in mobile environments: Exploiting channel sparsity for reducing pilots
G. Taubock and F. Hlawatsch · 2008
Earlier work this paper cites.
The group Lasso for logistic regression
L. Meier, S. Van De Geer, and P. Buhlmann · 2008
Earlier work this paper cites.
Consistency of the group lasso and multiple kernel learning
F. R. Bach · 2008
Earlier work this paper cites.
On the asymptotic properties of the group Lasso estimator for linear models
Y. Nardi and A. Rinaldo · 2008
Earlier work this paper cites.
CoSaMP: Iterative signal recovery from incomplete and inaccurate samples
D. Needell and J. A. Tropp · 2008
Earlier work this paper cites.
Message passing algorithms for compressed sensing
D. L. Donoho, A. Maleki, and A. Montanari · 2009
Earlier work this paper cites.
High-resolution radar via compressed sensing
M. A. Herman and T. Strohmer · 2009
Earlier work this paper cites.
Direction finding of multiple emitters by spatial sparsity and linear programming
J. S. Picard and A. J. Weiss · 2009
Earlier work this paper cites.
Observed universality of phase transitions in high-dimensional geometry, with applications in modern signal processing and data analysis
D. L. Donoho and J. Tanner · 2009
Cited alongside, same era.
Sparse reconstruction by separable approximation
S. J. Wright, R. Nowak, and M. Figueiredo · 2009
Cited alongside, same era.
J. Huang and T. Zhang · 2009
Cited alongside, same era.
On the reconstruction of block-sparse signals with an optimal number of measurements
M. Stojnic, F. Parvaresh, and B. Hassibi · 2009
Cited alongside, same era.
Block-length dependent thresholds in block-sparse compressed sensing
M. Stojnic · 2009
Cited alongside, same era.
Model-based compressive sensing
R. G. Baraniuk, V. Cevher, M. F. Duarte, and C. Hegde · 2010
Later among the works it cites.
Least favorable compressed sensing problems for the first order methods
A. Maleki and R. G. Baraniuk · 2011
Closest in time.
The dynamics of message passing on dense graphs, with applications to compressed sensing
M. Bayati and A. Montanari · 2011
Closest in time.
The performance of group Lasso for linear regression of grouped variables
M. F. Duarte, W. U. Bajwa, and R. Calderbank · 2011
Closest in time.
The group Lasso for stable recovery of block-sparse signal representations
X. Lv, G. Bi, and C. Wan · 2011
Closest in time.
The Lasso risk for Gaussian matrices
M. Bayati and A. Montanari · 2011
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Multi-task compressive sensing
S. Ji, D. Dunson, and L. Carin · 2009
Cited alongside, same era.
Taking advantage of sparsity in multi-task learning
K. Lounici, M. Pontil, A. B. Tsybakov, and S. van de Geer · 2009
Cited alongside, same era.
How to use the iterative hard thresholding algorithm
T. Blumensath and M. E. Davies · 2009
Cited alongside, same era.
Iterative hard thresholding for compressed sensing
T. Blumensath and M. E. Davies · 2009
Cited alongside, same era.
Computational methods for sparse solution of linear inverse problems
J. A. Tropp and S. J. Wright · 2010
Cited alongside, same era.
Orthonormal expansion ℓ 1 \ell_{1} -minimization algorithms for compressed sensing
Z. Yang, C. Zhang, J. Deng, and W. Lu · 2010
Cited alongside, same era.
Optimally tuned iterative thresholding algorithm for compressed sensing
A. Maleki and D. L. Donoho · 2010
Cited alongside, same era.
Closest in time.
Approximate message passing algorithm for compressed sensing
A. Maleki · 2011
Closest in time.
Construction of message passing algorithms for compressed sensing
D. L. Donoho, A. Maleki, and A. Montanari · 2011
Closest in time.
Support union recovery in high-dimensional multivariate regression
M. J. Wainwright G. Obozinski and M. I. Jordan · 2011
Closest in time.
A message-passing receiver for bicm-ofdm over unknown clustered-sparse channels
P. Schniter · 2011
Closest in time.
Accurate prediction of phase transition in compressed sensing via a connection to minimax denoising
D. L. Donoho, I. M. Johnstone, and A. Montanari · 2011
Closest in time.
Minimum complexity pursuit
S. Jalali and A. Maleki · 2011
Closest in time.
Compressed sensing over ℓ p \ell_{p} -balls: Minimax mean square error
D. L. Donoho, I. M. Johnstone, A. Maleki, and A. Montanari · 2011
Closest in time.
Sparsity-undersampling tradeoff of compressed sensing in the complex domain
Z. Yang and C. Zhang · 2011
Closest in time.
Compressive CFAR radar detection
L. Anitori, A. Maleki, M. Otten, , R. G. Baraniuk, and W. van Rossum · 2012
Closest in time.
Expectation-maximization gaussian-mixture approximate message passing
P. Schniter J. P. Vila · 2012
Closest in time.
Approximate message passing with consistent parameter estimation and applications to sparse learning
A. Fletcher M. Unser U. Kamilov, S. Rangan · 2012
Closest in time.
On phase transition of compressed sensing in the complex domain
Z. Yang, C. Zhang, and L. Xie · 2012
Closest in time.
Signal recovery by proximal forward-backward splitting
P. L. Combettes and V. R. Wajs · 2012
Closest in time.