Spectral Analysis of Temporal Signals on DAGs Using Joint Time-Vertex Fourier Transform

In this paper, we introduce a framework that combines the Graph Fourier Transform (GFT) on Directed Acyclic Graphs (DAGs) with the Joint Time-Vertex Analysis. Our approach builds upon a recently developed zero-padding technique for DAG-based spectral analysis, enabling the application of time-vertex processing methods in such structures. We demonstrate the feasibility of this integration through illustrative examples. Future work will explore the broader implications of this methodology for scalable graph signal processing.

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Published
2025-02-19
DOI
https://doi.org/10.1109/it64745.2025.10930286
Primary Topic
Sensor Technology and Measurement Systems
Type
article
Field-Weighted Citation Impact
0.00

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article

Spectral Analysis of Temporal Signals on DAGs Using Joint Time-Vertex Fourier Transform

Miloš Daković, Isidora Stanković, Ljubiša Stanković, Miloš Brajović
Sensor Technology and Measurement Systems
article

Spectral Analysis of Temporal Signals on DAGs Using Joint Time-Vertex Fourier Transform

Miloš Daković, Isidora Stanković, Ljubiša Stanković, Miloš Brajović
article en

Abstract

In this paper, we introduce a framework that combines the Graph Fourier Transform (GFT) on Directed Acyclic Graphs (DAGs) with the Joint Time-Vertex Analysis. Our approach builds upon a recently developed zero-padding technique for DAG-based spectral analysis, enabling the application of time-vertex processing methods in such structures. We demonstrate the feasibility of this integration through illustrative examples. Future work will explore the broader implications of this methodology for scalable graph signal processing.

University of Montenegro (ME)
Ministry of Education
Openalex Percentile: Top 95%
Sensor Technology and Measurement Systems
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