1 citations · 1 across the 5 of their papers we have counts for
5 papers
Low-Rank Phase Retrieval via Variational Bayesian Learning
Kaihui Liu, Jiayi Wang, Zhengli Xing +2
In this paper, we consider the problem of low-rank phase retrieval whose objective is to estimate a complex low-rank matrix from magnitude-only measurements. We propose a hierarchi…
Simultaneous Block-Sparse Signal Recovery Using Pattern-Coupled Sparse Bayesian Learning
Hang Xiao, Zhengli Xing, Linxiao Yang +2
In this paper, we consider the block-sparse signals recovery problem in the context of multiple measurement vectors (MMV) with common row sparsity patterns. We develop a new method…
Automatic Modulation Recognition of PSK Signals with Sub-Nyquist Sampling Based on High Order Statistics
Zhengli Xing, Jie Zhou, Jiangfeng Ye +4
Sampling rate required in the Nth Power Nonlinear Transformation (NPT) method is typically much greater than Nyquist rate, which causes heavy burden for the Analog to Digital Conve…
Automatic Modulation Recognition of PSK Signals Using Nonuniform Compressive Samples Based on High Order Statistics
Zhengli Xing, Jie Zhou, Jiangfeng Ye +3
Phase modulation is a commonly used modulation mode in digital communication, which usually brings phase sparsity to digital signals. It is naturally to connect the sparsity with t…
A Novel Compressed Sensing Based Model for Reconstructing Sparse Signals Using Phase Sparse Character
Zhengli Xing, Jie Zhou, Jiangfeng Ye +3
Phase modulation is a commonly used modulation mode in digital communication, which usually brings phase sparsity to digital signals. It is naturally to connect the sparsity with t…