45 citations · 48 across the 9 of their papers we have counts for
4 papers · 1 filter
Recovering Sparse Nonnegative Signals via Non-convex Fraction Function Penalty
Angang Cui, Haiyang Li, Meng Wen +1
Many real world practical problems can be formulated as -minimization problems with nonnegativity constraints, which seek the sparsest nonnegative signals to underdetermi…
Generalized singular value thresholding operator to affine matrix rank minimization problem
Angang Cui, Haiyang Li, Jigen Peng +1
It is well known that the affine matrix rank minimization problem is NP-hard and all known algorithms for exactly solving it are doubly exponential in theory and in practice due to…
Minimization of fraction function penalty in compressed sensing
Haiyang Li, Qian Zhang, Angang Cui +1
In the paper, we study the minimization problem of a non-convex sparsity promoting penalty function $$P_{a}(x)=\sum_{i=1}^{n}p_{a}(x_{i})=\sum_{i=1}^{n}\frac{a|x_{i}|}{1+a|x_{i}|}$…
Non-convex Fraction Function Penalty: Sparse Signals Recovered from Quasi-linear Systems
Angang Cui, Jigen Peng, Haiyang Li
The goal of compressed sensing is to reconstruct a sparse signal under a few linear measurements far less than the dimension of the ambient space of the signal. However, many real-…