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On Recovery of Sparse Signals via $\ell_1$ Minimization

On Recovery of Sparse Signals via ℓ1\ell_1ℓ1​ Minimization

IEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2008
1 May 2008
T. Cai
Guangwu Xu
Jun Zhang
ArXiv (abs)PDFHTML

Papers citing "On Recovery of Sparse Signals via $\ell_1$ Minimization"

22 / 22 papers shown
A Two Stage Generalized Block Orthogonal Matching Pursuit (TSGBOMP)
  Algorithm
A Two Stage Generalized Block Orthogonal Matching Pursuit (TSGBOMP) Algorithm
S. Mukhopadhyay
M. Chakraborty
357
4
0
18 Aug 2020
A greedy algorithm for sparse precision matrix approximation
A greedy algorithm for sparse precision matrix approximation
Didi Lv
Xiaoqun Zhang
164
1
0
01 Jul 2019
A Theoretical Analysis of Sparse Recovery Stability of Dantzig Selector
  and LASSO
A Theoretical Analysis of Sparse Recovery Stability of Dantzig Selector and LASSO
Yun-Bin Zhao
Duan Li
260
2
0
10 Nov 2017
High SNR Consistent Compressive Sensing
High SNR Consistent Compressive Sensing
Sreejith Kallummil
Sheetal Kalyani
156
8
0
10 Mar 2017
A Convex Similarity Index for Sparse Recovery of Missing Image Samples
A Convex Similarity Index for Sparse Recovery of Missing Image Samples
A. Javaheri
H. Zayyani
F. Marvasti
251
1
0
25 Jan 2017
On sampling theorem with sparse decimated samples: exploring branching
  spectrum degeneracy
On sampling theorem with sparse decimated samples: exploring branching spectrum degeneracy
N. Dokuchaev
549
1
0
02 May 2016
Optimal data recovery and forecasting with dummy long-horizon forecasts
Optimal data recovery and forecasting with dummy long-horizon forecasts
N. Dokuchaev
72
2
0
29 Apr 2016
On recovering missing values for sequences in a pathwise setting
On recovering missing values for sequences in a pathwise setting
N. Dokuchaev
193
5
0
18 Apr 2016
Consistent Parameter Estimation for LASSO and Approximate Message
  Passing
Consistent Parameter Estimation for LASSO and Approximate Message Passing
Ali Mousavi
A. Maleki
Richard G. Baraniuk
406
60
0
03 Nov 2015
A Nonconvex Approach for Structured Sparse Learning
A Nonconvex Approach for Structured Sparse Learning
Shubao Zhang
Hui Qian
Zhihua Zhang
192
1
0
07 Mar 2015
Sparse Recovery via Differential Inclusions
Sparse Recovery via Differential Inclusions
Stanley Osher
Feng Ruan
Jiechao Xiong
Yuan Yao
W. Yin
426
72
0
30 Jun 2014
ROP: Matrix recovery via rank-one projections
ROP: Matrix recovery via rank-one projections
T. Tony Cai
Anru R. Zhang
352
165
0
22 Oct 2013
Relaxed Sparse Eigenvalue Conditions for Sparse Estimation via
  Non-convex Regularized Regression
Relaxed Sparse Eigenvalue Conditions for Sparse Estimation via Non-convex Regularized RegressionPattern Recognition (PR), 2013
Zheng Pan
Changshui Zhang
417
13
0
14 Jun 2013
Sparse Representation of a Polytope and Recovery of Sparse Signals and
  Low-rank Matrices
Sparse Representation of a Polytope and Recovery of Sparse Signals and Low-rank MatricesIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2013
Tommaso Cai
Anru R. Zhang
273
314
0
05 Jun 2013
Corrupted Sensing: Novel Guarantees for Separating Structured Signals
Corrupted Sensing: Novel Guarantees for Separating Structured SignalsIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2013
Rina Foygel
Lester W. Mackey
363
117
0
11 May 2013
Compressed Sensing and Affine Rank Minimization under Restricted
  Isometry
Compressed Sensing and Affine Rank Minimization under Restricted IsometryIEEE Transactions on Signal Processing (IEEE Trans. Signal Process.), 2013
Tommaso Cai
Anru R. Zhang
202
81
0
12 Apr 2013
Complex Orthogonal Matching Pursuit and Its Exact Recovery Conditions
Complex Orthogonal Matching Pursuit and Its Exact Recovery Conditions
R. Fan
Q. Wan
Yipeng Liu
Hui Chen
Xiao Zhang
208
8
0
11 Jun 2012
Fast-rate and optimistic-rate error bounds for L1-regularized regression
Fast-rate and optimistic-rate error bounds for L1-regularized regression
Rina Foygel
Nathan Srebro
273
7
0
01 Aug 2011
Pac-bayesian bounds for sparse regression estimation with exponential
  weights
Pac-bayesian bounds for sparse regression estimation with exponential weights
Pierre Alquier
Karim Lounici
449
75
0
14 Sep 2010
A Selective Overview of Variable Selection in High Dimensional Feature
  Space (Invited Review Article)
A Selective Overview of Variable Selection in High Dimensional Feature Space (Invited Review Article)
Jianqing Fan
Jinchi Lv
1.0K
958
0
06 Oct 2009
On the conditions used to prove oracle results for the Lasso
On the conditions used to prove oracle results for the Lasso
Sara van de Geer
Peter Buhlmann
727
747
0
05 Oct 2009
Coherence-Based Performance Guarantees for Estimating a Sparse Vector
  Under Random Noise
Coherence-Based Performance Guarantees for Estimating a Sparse Vector Under Random NoiseIEEE Transactions on Signal Processing (TSP), 2009
Z. Ben-Haim
Yonina C. Eldar
Michael Elad
500
260
0
26 Mar 2009
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