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math.OC2022
On proximal gradient mapping and its minimization in norm via potential function-based acceleration
Beier Chen, Hui Zhang
The proximal gradient descent method, well-known for composite optimization, can be completely described by the concept of proximal gradient mapping. In this paper, we highlight ou…
cs.IT2022
Optimality Analysis and Block Sparse Algorithm for Complex Compressed Sensing
Hui Zhang, Xin Liu, Naihua Xiu
Recently, many new challenges in Compressed Sensing (CS), such as block sparsity, arose. In this paper, we present a new algorithm for solving CS with block sparse constraints (BSC…