Research graph
References from A class of null space conditions for sparse recovery via nonconvex, non-separable minimizations. Local targets link to admitted publications; unresolved targets remain external evidence.
Infinite-dimensional compressed sensing and function interpolation
2017 · External reference
Matrix analysis
1997 · External reference
Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information
10.1109/tit.2005.862083 · 2006 · External reference
Exact reconstruction of sparse signals via nonconvex minimization
10.1109/lsp.2007.898300 · 2007 · External reference
Polynomial approximation via compressed sensing of high-dimensional functions on lower sets
10.1090/mcom/3272 · 2018 · External reference
Compressed sensing and best к-term approximation
10.1090/s0894-0347-08-00610-3 · 2009 · External reference
Unresolved reference
2019 · External reference
Compressed sensing
10.1109/tit.2006.871582 · 2006 · External reference
A non-adapted sparse approximation of pdes with stochastic inputs
10.1016/j.jcp.2011.01.002 · 2011 · External reference
A method for finding structured sparse solutions to nonnegative least squares problems with applications
10.1137/13090540x · 2013 · External reference
Variable selection via nonconcave penalized likelihood and its oracle properties
10.1198/016214501753382273 · 2001 · External reference
Sparsest solutions of underdetermined linear systems via lq-minimization for 0 < q ≤ 1
2009 · External reference
Unresolved reference
2013 · External reference
Recovering compressively sampled signals using partial support information
10.1109/tit.2011.2167214 · 2012 · External reference
Highly sparse representations from dictionaries are unique and independent of the sparseness measure
10.1016/j.acha.2006.09.003 · 2007 · External reference
Unresolved reference
2015 · External reference
Two-level l1 minimization for compressed sensing
10.1016/j.sigpro.2014.09.028 · 2015 · External reference
Nonconvex sorted l1 minimization for sparse approximation
10.1007/s40305-014-0069-4 · 2015 · External reference
A unified approach to model selection and sparse recovery using regularized least squares
10.1214/09-aos683 · 2009 · External reference
Unresolved reference
2011 · External reference
Compressive sensing Petrov-Galerkin approximation of high dimensional parametric operator equations
10.1090/mcom/3113 · 2017 · External reference
Interpolation via weighted l1-minimization
10.1016/j.acha.2015.02.003 · 2016 · External reference
Likelihood-based selection and sharp parameter estimation
10.1080/01621459.2011.645783 · 2012 · External reference
Sparse signal reconstruction via iterative support detection
10.1137/090772447 · 2010 · External reference
Sparse approximation using l1 - l2 minimization and its applications to stochastic collocation
10.1137/15m103947x · 2017 · External reference
Ratio and difference of l1 and l2 n orms and sparse representation with coherent dictionaries
10.4310/cis.2014.v14.n2.a2 · 2014 · External reference
Minimization of l1-2 for compressed sensing
10.1137/140952363 · 2015 · External reference
Iterative l1 minimization for non-convex compressed sensing
10.4208/jcm.1610-m2016-0620 · 2017 · External reference
Sufficient conditions on stable recovery of sparse signals with partial support information
10.1109/lsp.2013.2254712 · 2013 · External reference
Unresolved reference
2016 · External reference
Multi-stage convex relaxation for learning with sparse regularization
2009 · External reference
Analysis of multi-stage convex relaxation for sparse regularization
2010 · External reference
