1 citations · 1 across the 3 of their papers we have counts for
3 papers
eess.SP2023
Kernel Based Reconstruction for Generalized Graph Signal Processing
Xingchao Jian, Wee Peng Tay, Yonina C. Eldar
In generalized graph signal processing (GGSP), the signal associated with each vertex in a graph is an element from a Hilbert space. In this paper, we study GGSP signal reconstruct…
eess.SP2023
Graph signal processing with categorical perspective
Feng Ji, Xingchao Jian, Wee Peng Tay
In this paper, we propose a framework for graph signal processing using category theory. The aim is to generalize a few recent works on probabilistic approaches to graph signal pro…
eess.SP2023★ 1 cited
On distributional graph signals
Feng Ji, Xingchao Jian, Wee Peng Tay
Graph signal processing (GSP) studies graph-structured data, where the central concept is the vector space of graph signals. To study a vector space, we have many useful tools up o…