4 papers
Graph Embedding in the Graph Fractional Fourier Transform Domain
Changjie Sheng, Zhichao Zhang, Yangfan He
Spectral graph embedding plays a critical role in graph representation learning by generating low-dimensional vector representations from graph spectral information. However, the e…
A Unified Framework for 2D Nonseparable Fractional Fourier Transform: From Geometric Completeness to Applications
Daxiang Li, Zhichao Zhang, Wei Yao
The one-dimensional (1D) fractional Fourier transform (FRFT) generalizes the Fourier transform, offering significant advantages in the time-frequency analysis of non-stationary sig…
A Novel Unified Extended Matrix for Graph Signal Processing: Theory and Application
Yunyan Zheng, Zhichao Zhang, Wei Yao
Graph signal processing has become an essential tool for analyzing data structured on irregular domains. While conventional graph shift operators (GSOs) are effective for certain t…
Graph Chirp Signal and Graph Fractional Vertex-Frequency Energy Distribution
Manjun Cui, Zhichao Zhang, Wei Yao
Graph signal processing (GSP) has emerged as a powerful framework for analyzing data on irregular domains. In recent years, many classical techniques in signal processing (SP) have…