5 papers
SVD-Based UGRM-GFT on Directed Product Graphs
Guoyun Xie, Zhichao Zhang
Traditional directed graph signal processing generally depends on fixed representation matrices, whose rigid structures limit the model's ability to adapt to complex graph topologi…
Graph Signal Wiener Filtering in the Linear Canonical Domain: Theory and Method Design
Xiaopeng Cheng, Zhichao Zhang
The graph linear canonical transform (GLCT)-based filtering methods often optimize transform parameters and filters separately, which results in high computational costs and limite…
JFRFFNet: A Data-Model Co-Driven Graph Signal Denoising Model with Partial Prior Information
Ziqi Yan, Zhichao Zhang
Wiener filtering in the joint time-vertex fractional Fourier transform (JFRFT) domain has shown high effectiveness in denoising time-varying graph signals. Traditional filtering mo…
Trainable Joint Time-Vertex Fractional Fourier Transform
Ziqi Yan, Zhichao Zhang
To address limitations of the graph fractional Fourier transform (GFRFT) Wiener filtering and the traditional joint time-vertex fractional Fourier transform (JFRFT) Wiener filterin…
Standard Heisenberg's uncertainty principles of Cohen's class time-frequency distribution with specific kernels
Zhichao Zhang
Time-frequency concentration and resolution of the Cohen's class time-frequency distribution (CCTFD) has attracted much attention in time-frequency analysis. A variety of uncertain…