14 citations · 39 across the 27 of their papers we have counts for
14 papers · 1 filter
On Sampling of Multiple Correlated Stochastic Signals
Lin Jin, Hang Sheng, Hui Feng +1
Multiple stochastic signals possess inherent statistical correlations, yet conventional sampling methods that process each channel independently result in data redundancy. To lever…
Subset Random Sampling and Reconstruction of Finite Time-Vertex Graph Signals
Hang Sheng, Qinji Shu, Hui Feng +1
Finite time-vertex graph signals (FTVGS) provide an efficient representation for capturing spatio-temporal correlations across multiple data sources on irregular structures. Althou…
Sampling Theory of Jointly Bandlimited Time-vertex Graph Signals
Hang Sheng, Hui Feng, Junhao Yu +2
Time-vertex graph signal (TVGS) models describe time-varying data with irregular structures. The bandlimitedness in the joint time-vertex Fourier spectral domain reflects smoothnes…
Subset Random Sampling of Finite Time-vertex Graph Signals
Hang Sheng, Qinji Shu, Hui Feng +1
Time-varying data with irregular structures can be described by finite time-vertex graph signals (FTVGS), which represent potential temporal and spatial relationships among multipl…
Online Signed Sampling of Bandlimited Graph Signals
Wenwei Liu, Hui Feng, Feng Ji +1
The theory of sampling and recovery of bandlimited graph signals has been extensively studied. However, in many cases, the observation of a signal is quite coarse. For example, use…
Sampling of Correlated Bandlimited Continuous Signals by Joint Time-vertex Graph Fourier Transform
Zhongyi Ni, Feng Ji, Hang Sheng +2
When sampling multiple signals, the correlation between the signals can be exploited to reduce the overall number of samples. In this paper, we study the sampling theory of multipl…
Recovery of Graph Signals from Sign Measurements
Wenwei Liu, Hui Feng, Kaixuan Wang +2
Sampling and interpolation have been extensively studied, in order to reconstruct or estimate the entire graph signal from the signal values on a subset of vertexes, of which most…
Sampling Policy Design for Tracking Time-Varying Graph Signals with Adaptive Budget Allocation
Xuan Xie, Hui Feng, Bo Hu
There have been many works that focus on the sampling set design for a static graph signal, but few for time-varying graph signals (GS). In this paper, we concentrate on how to sel…
Bayesian Design of Sampling Set for Bandlimited Graph Signals
Xuan Xie, Junhao Yu, Hui Feng +1
The design of sampling set (DoS) for bandlimited graph signals (GS) has been extensively studied in recent years, but few of them exploit the benefits of the stochastic prior of GS…
On Critical Sampling of Time-Vertex Graph Signals
Junhao Yu, Xuan Xie, Hui Feng +1
Joint time-vertex graph signals are pervasive in real-world. This paper focuses on the fundamental problem of sampling and reconstruction of joint time-vertex graph signals. We pro…
Active Sampling for Approximately Bandlimited Graph Signals
Sijie Lin, Xuan Xie, Hui Feng +1
This paper investigates the active sampling for estimation of approximately bandlimited graph signals. With the assistance of a graph filter, an approximately bandlimited graph sig…
Robust Beamforming for Downlink 3D-MIMO Systems with -norm Bounded CSI Uncertainty
Kai Liu, Hui Feng, Tao Yang +1
In this paper, a novel robust beamforming scheme is proposed in three dimensional multi-input multi-output (3D-MIMO) systems. As one of the typical deployments of massive MIMO, a 3…
Active Anomaly Detection with Switching Cost
Fengfan Qin, Da Chen, Hui Feng +3
The problem of detecting a single anomalous process among multiple independent processes is considered. Under a constraint on the number of processes that can be probed simultaneou…
Design of Sampling Set for Bandlimited Graph Signal Estimation
Xuan Xie, Hui Feng, Junlian Jia +1
It is of particular interest to reconstruct or estimate bandlimited graph signals, which are smoothly varying signals defined over graphs, from partial noisy measurements. However,…