28 citations · 57 across the 11 of their papers we have counts for
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math.OC2016★ 1 cited
-regularized Variational Methods for Sparse Phase Retrieval
Yuping Duan, Chunlin Wu, Zhi-Feng Pang +1
We study the problem of recovering the underlining sparse signals from clean or noisy phaseless measurements. Due to the sparse prior of signals, we adopt an L0regularized variatio…
math.NA2016★ 28 cited
A General Truncated Regularization Framework for Contrast-Preserving Variational Signal and Image Restoration: Motivation and Implementation
Chunlin Wu, Zhifang Liu, Shuang Wen
Variational methods have become an important kind of methods in signal and image restoration - a typical inverse problem. One important minimization model consists of the squared $…