Wide-sense stationarity in generalized graph signal processing
We consider statistical graph signal processing (GSP) in a generalized framework where each vertex of a graph is associated with an element from a Hilbert space. This general model encompasses various signals such as the traditional scalar-valued graph signal, multichannel graph signal, and disc...
Main Authors: | Jian, Xingchao, Tay, Wee Peng |
---|---|
Other Authors: | School of Electrical and Electronic Engineering |
Format: | Journal Article |
Language: | English |
Published: |
2022
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/161585 |
Similar Items
-
Wide-sense stationarity and spectral estimation for generalized graph signal
by: Jian, Xingchao, et al.
Published: (2022) -
Kernel ridge regression for generalized graph signal processing
by: Jian, Xingchao, et al.
Published: (2023) -
A Hilbert space theory of generalized graph signal processing
by: Ji, Feng, et al.
Published: (2021) -
Modeling sparse graph sequences and signals using generalized graphons
by: Ji, Feng, et al.
Published: (2025) -
Start-up monitoring for intermittent manufacturing based on hierarchical stationarity analysis
by: Qin, Yan, et al.
Published: (2022)