24 citations · 73 across the 12 of their papers we have counts for
12 papers
Simpler Gradient Methods for Blind Super-Resolution with Lower Iteration Complexity
Jinsheng Li, Wei Cui, Xu Zhang
We study the problem of blind super-resolution, which can be formulated as a low-rank matrix recovery problem via vectorized Hankel lift (VHL). The previous gradient descent method…
Projected Gradient Descent for Spectral Compressed Sensing via Symmetric Hankel Factorization
Jinsheng Li, Wei Cui, Xu Zhang
Current spectral compressed sensing methods via Hankel matrix completion employ symmetric factorization to demonstrate the low-rank property of the Hankel matrix. However, previous…
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…
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…
Spectrally Sparse Signal Recovery via Hankel Matrix Completion with Prior Information
Xu Zhang, Yulong Liu, Wei Cui
This paper studies the problem of reconstructing spectrally sparse signals from a small random subset of time domain samples via low-rank Hankel matrix completion with the aid of p…
Distributed remote estimation over the collision channel with and without local communication
Xu Zhang, Marcos M. Vasconcelos, Wei Cui +1
The emergence of the Internet-of-Things and cyber-physical systems necessitates the coordination of access to limited communication resources in an autonomous and distributed fashi…