activity
20132021
most citedStructure-Aware Bayesian Compressive Sensing for Frequency-Hopping Spectrum Estimation with Missing Observations

109 citations · 113 across the 6 of their papers we have counts for

collaborators

6 papers

eess.SP2021★ 1 cited

Rank Minimization-based Toeplitz Reconstruction for DoA Estimation Using Coprime Array

Shengheng Liu, Zihuan Mao, Yimin D. Zhang +1

In this paper, we address the problem of direction finding using coprime array, which is one of the most preferred sparse array configurations. Motivated by the fact that non-unifo…

eess.SP2020★ 2 cited

Crossterm-Free Time-Frequency Representation Exploiting Deep Convolutional Neural Network

Shuimei Zhang, Yimin D. Zhang

Bilinear time-frequency representations (TFRs) provide high-resolution time-varying frequency characteristics of nonstationary signals. However, they suffer from crossterms due to…

eess.SP2018★ 109 cited

Structure-Aware Bayesian Compressive Sensing for Frequency-Hopping Spectrum Estimation with Missing Observations

Shengheng Liu, Yimin Daniel Zhang, Tao Shan +1

In this paper, we address the problem of spectrum estimation of multiple frequency-hopping (FH) signals in the presence of random missing observations. The signals are analyzed wit…

cs.IT2015

Gridless Quadrature Compressive Sampling with Interpolated Array Technique

Feng Xi, Shengyao Chen, Yimin D. Zhang +1

Quadrature compressive sampling (QuadCS) is a sub-Nyquist sampling scheme for acquiring in-phase and quadrature (I/Q) components in radar. In this scheme, the received intermediate…

cs.IT2015

Segment-Sliding Reconstruction of Pulsed Radar Echoes with Sub-Nyquist Sampling

Suling Zhang, Feng Xi, Shengyao Chen +2

It has been shown that analog-to-information con- version (AIC) is an efficient scheme to perform sub-Nyquist sampling of pulsed radar echoes. However, it is often impractical, if…

cs.IT2013★ 1 cited

Pulse-Doppler Signal Processing with Quadrature Compressive Sampling

Chao Liu, Feng Xi, Shengyao Chen +1

Quadrature compressive sampling (QuadCS) is a newly introduced sub-Nyquist sampling for acquiring inphase and quadrature (I/Q) components of radio-frequency signals. For applicatio…