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20222026
most citedDiscrete Linear Canonical Transform on Graphs: Uncertainty Principle and Sampling

1 citations · 1 across the 8 of their papers we have counts for

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math.GM2026

Spectral Graph Uncertainty Principles via the Graph Fractional Fourier Transform

Yu Zhang, Bing-Zhao Li

This paper develops a graph fractional uncertainty principle in the graph fractional Fourier transform (GFRFT) domain. We introduce localization operators in the vertex domain and…

math.GM2026

Graph Fractional Fourier Transform: A Unified and Efficient Sampling Theory

Yu Zhang, Jia-Yin Peng, Bing-Zhao Li

The graph Fourier transform (GFT) is a fundamental tool in graph signal processing and has recently been extended to the graph fractional Fourier transform (GFRFT). Existing sampli…