Pages that link to "Item:Q2000486"
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The following pages link to A non-convex regularization approach for compressive sensing (Q2000486):
Displaying 9 items.
- Matrix-free interior point method for compressed sensing problems (Q744215) (← links)
- Linear program relaxation of sparse nonnegative recovery in compressive sensing microarrays (Q1929588) (← links)
- A non-convex denoising model for impulse and Gaussian noise mixture removing using bi-level parameter identification (Q2158253) (← links)
- A non-convex PDE-constrained denoising model for impulse and Gaussian noise mixture reduction (Q2697349) (← links)
- Linearized Bregman iterations for compressed sensing (Q3055156) (← links)
- Compressive Sensing on Manifolds Using a Nonparametric Mixture of Factor Analyzers: Algorithm and Performance Bounds (Q4570691) (← links)
- Dequantizing Compressed Sensing: When Oversampling and Non-Gaussian Constraints Combine (Q5281147) (← links)
- On a variational problem with a nonstandard growth functional and its applications to image processing (Q6098356) (← links)
- A Bregman-style improved ADMM and its linearized version in the nonconvex setting: convergence and rate analyses (Q6566776) (← links)
