Paper
20 October 2023 A new reconstruction formula and shift frame for WGFRFT
Fang-Jia Yan, Bing-Zhao Li
Author Affiliations +
Proceedings Volume 12916, Third International Conference on Signal Image Processing and Communication (ICSIPC 2023); 1291614 (2023) https://doi.org/10.1117/12.3004873
Event: Third International Conference on Signal Image Processing and Communication (ICSIPC 2023), 2023, Kunming, China
Abstract
The study of signals defined on irregular domains has garnered significant attention, and the field of graph signal processing has emerged as a way to model such signals using underlying graph structures. Vertex frequency analysis is a crucial tool for graph signal analysis and representation. Finding different kinds of frames via the windowed graph fractional Fourier transform (WGFRFT) is necessary to extract the characteristics of graph signals. To overcome this issue, we introduce the concept of the dual of WGFRFT frame and use it to develop a new reconstruction formula for graph signals. Additionally, we propose fractional shift frame. Finally, to highlight the utility of our proposed frames, we present some examples which use our fractional shift frame to extract the spectrum of graph signal.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Fang-Jia Yan and Bing-Zhao Li "A new reconstruction formula and shift frame for WGFRFT", Proc. SPIE 12916, Third International Conference on Signal Image Processing and Communication (ICSIPC 2023), 1291614 (20 October 2023); https://doi.org/10.1117/12.3004873
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KEYWORDS
Matrices

Signal processing

Windows

Fractional fourier transform

Fourier theory

Fourier transforms

Modulation

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