Two-level ?1 minimization for compressed sensing
The sparsity is significantly enhanced from the ?1 minimization via giving two levels of weights. Piecewise linearity makes this method have better convergence than other non-convex methods A soft thresholding algorithm is established and can be used for large-scale problems.
?1 minimization compressed sensing thresholding algorithm non-convex penalty