activity
20192023
most citedQuantized Corrupted Sensing with Random Dithering

7 citations · 7 across the 5 of their papers we have counts for

collaborators

5 papers

math.NA2023

Heavy-ball-based optimal thresholding algorithms for sparse linear inverse problems

Zhong-Feng Sun, Jin-Chuan Zhou, Yun-Bin Zhao

Linear inverse problems arise in diverse engineering fields especially in signal and image reconstruction. The development of computational methods for linear inverse problems with…

cs.IT2022

Heavy-Ball-Based Hard Thresholding Algorithms for Sparse Signal Recovery

Zhong-Feng Sun, Jin-Chuan Zhou, Yun-Bin Zhao +1

The hard thresholding technique plays a vital role in the development of algorithms for sparse signal recovery. By merging this technique and heavy-ball acceleration method which i…

cs.IT2021★ 7 cited

Quantized Corrupted Sensing with Random Dithering

Zhongxing Sun, Wei Cui, Yulong Liu

Corrupted sensing concerns the problem of recovering a high-dimensional structured signal from a collection of measurements that are contaminated by unknown structured corruption a…

cs.IT2021

Phase Transitions in Recovery of Structured Signals from Corrupted Measurements

Zhongxing Sun, Wei Cui, Yulong Liu

This paper is concerned with the problem of recovering a structured signal from a relatively small number of corrupted random measurements. Sharp phase transitions have been numeri…

cs.IT2019

Recovery of Structured Signals From Corrupted Non-Linear Measurements

Zhongxing Sun, Wei Cui, Yulong Liu

This paper studies the problem of recovering a structured signal from a relatively small number of corrupted non-linear measurements. Assuming that signal and corruption are contai…