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View all- Zhang YLi B(2024)Discrete linear canonical transform on graphs: Uncertainty principle and samplingSignal Processing10.1016/j.sigpro.2024.109668(109668)Online publication date: Aug-2024
With an increasing influx of classical signal processing methodologies into the field of graph signal processing, approaches grounded in discrete linear canonical transform have found application in graph signals. In this paper, we initially ...
With the wide application of spectral and algebraic theory in discrete signal processing techniques in the field of graph signal processing, an increasing number of signal processing methods have been proposed, such as the graph ...
The graph fractional Fourier transform (GFRFT) has been applied to graph signal processing and has become an important tool in graph signal processing. However, most of the graph signals are usually non-bandlimited in the GFRFT domain. How to ...
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