Pages that link to "Item:Q2848611"
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The following pages link to Making do with less: an introduction to compressed sensing (Q2848611):
Displaying 12 items.
- Minimizers of sparsity regularized Huber loss function (Q831370) (← links)
- Sparse recovery in probability via \(l_q\)-minimization with Weibull random matrices for \(0 < q\leq 1\) (Q1747365) (← links)
- Sparse solutions to an underdetermined system of linear equations via penalized Huber loss (Q2129205) (← links)
- Identifiability and convergence analysis of the MINLIP estimator (Q2342518) (← links)
- Nonlinear approximation and compressed sensing (Q2797351) (← links)
- Localization in Matrix Computations: Theory and Applications (Q2971627) (← links)
- Necessary and Sufficient Conditions for Noiseless Sparse Recovery via Convex Quadratic Splines (Q3119537) (← links)
- Variable Projection Methods for an Optimized Dynamic Mode Decomposition (Q4608086) (← links)
- What is a Frame? Theory and Applications of Frames (Q4686734) (← links)
- Least Sparsity of $p$-Norm Based Optimization Problems with $p>1$ (Q4687239) (← links)
- A New Optimization Approach to Sparse Reconstruction of Log-Conductivity in Acousto-Electric Tomography (Q4689777) (← links)
- An Introduction to Compressed Sensing (Q5208957) (← links)
