5 citations · 5 across the 6 of their papers we have counts for
11 papers
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…
On semi shift invariant graph filters
Feng Ji, See Hian Lee, Wee Peng Tay
In graph signal processing, one of the most important subjects is the study of filters, i.e., linear transformations that capture relations between graph signals. One of the most i…
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…
Signal processing with a distribution of graph operators
Feng Ji, Wee Peng Tay
In this paper, we develop a signal processing framework of a network without explicit knowledge of the network topology. Instead, we make use of knowledge on the distribution of op…
Sampling Theory of Bandlimited Continuous-Time Graph Signals
Feng Ji, Hui Feng, Hang Sheng +1
A continuous-time graph signal can be viewed as a time series of graph signals. It generalizes both the classical continuous-time signal and ordinary graph signal. Therefore, such…
Signal processing on simplicial complexes
Feng Ji, Giacomo Kahn, Wee Peng Tay
Theoretical development and applications of graph signal processing (GSP) have attracted much attention. In classical GSP, the underlying structures are restricted in terms of dime…