Inferring Cortical Connectivity From ECoG Signals Using Graph Signal Processing [PDF]
IEEE Access, 2019 A novel method to characterize connectivity between sites in the cerebral cortex of primates is proposed in this paper. Connectivity graphs for two macaque monkeys are inferred from Electrocorticographic (ECoG) activity recorded while the animals were ...
Siddhi Tavildar +6 more
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Graph Signal Processing: Overview, Challenges, and Applications [PDF]
Proceedings of the IEEE, 2018 To appear, Proceedings of the ...
Antonio Ortega +4 more
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Pavement Distress Estimation via Signal on Graph Processing
Sensors, 2022 A comprehensive representation of the road pavement state of health is of great interest. In recent years, automated data collection and processing technology has been used for pavement inspection. In this paper, a new signal on graph (SoG) model of road
Salvatore Bruno +4 more
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Topological Signal Processing from Stereo Visual SLAM [PDF]
SensorsTopological signal processing is emerging alongside Graph Signal Processing (GSP) in various applications, incorporating higher-order connectivity structures—such as faces—in addition to nodes and edges, for enriched connectivity modeling.
Eleonora Di Salvo +4 more
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A joint range–angle–velocity estimation algorithm for FDA-MIMO radar based on graph signal processing [PDF]
Scientific ReportsIn this paper, a novel Frequency Diverse Array–Multiple Input Multiple Output (FDA-MIMO) radar parameter estimation algorithm based on Graph Signal Processing (GSP) is proposed for joint range–angle–velocity estimation.
Qinlin Li +6 more
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Machine Learning and Graph Signal Processing Applied to Healthcare: A Review [PDF]
BioengineeringSignal processing is a very useful field of study in the interpretation of signals in many everyday applications. In the case of applications with time-varying signals, one possibility is to consider them as graphs, so graph theory arises, which extends ...
Maria Alice Andrade Calazans +4 more
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Radio Map Interpolation Using Graph Signal Processing [PDF]
IEEE Communications Letters, 2018 Interpolating a radio map is a problem of great relevance in many scenarios such as network planning, network optimization, and localization. In this letter, such a problem is tackled by leveraging recent results from the emerging field of signal processing on graphs. A technique for interpolating graph structured data is adapted to the problem at hand
Redondi, ALESSANDRO ENRICO CESARE
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Graph Signal Processing: Vertex Multiplication [PDF]
IEEE Signal Processing Letters, 2021 9 pages, 2 ...
Bunyamin Kartal +2 more
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Community-Aware Graph Signal Processing: Modularity Defines New Ways of Processing Graph Signals [PDF]
IEEE Signal Processing Magazine, 2020 The emerging field of graph signal processing (GSP) allows one to transpose classical signal processing operations (e.g., filtering) to signals on graphs. The GSP framework is generally built upon the graph Laplacian, which plays a crucial role in studying graph properties and measuring graph signal smoothness.
Miljan Petrovic +3 more
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Protein-Protein Interaction Prediction via Graph Signal Processing
IEEE Access, 2021 This paper tackles the problem of predicting the protein-protein interactions that arise in all living systems. Inference of protein-protein interactions is of paramount importance for understanding fundamental biological phenomena, including cross ...
Stefania Colonnese +4 more
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