Affiliation:
1. School of Mathematics and Statistics Yulin University Yulin Shaanxi China
2. School of International Education Yulin University Yulin Shaanxi China
Abstract
AbstractIn this article, a fast algorithm is studied to recover the sparse signals. It can be regarded as an extension of the parameterized fast iterative shrinkage‐thresholding algorithm from convex optimization to nonconvex optimization. Numerical results show that the proposed fast algorithm is efficient and fast in recovering the sparse signals.
Publisher
Institution of Engineering and Technology (IET)