Graph Signal Processing: Vertex Multiplication [PDF]
9 pages, 2 ...
Aykut Koc, Bunyamin Kartal
exaly +4 more sources
ERG-Graph: Graph Signal Processing of the Electroretinogram for Classification of Neurodevelopmental Disorders [PDF]
Objective biomarkers for neurodevelopmental disorders remain an unmet clinical need. The electroretinogram (ERG), a non-invasive recording of the retinal response to light, has shown promise as a physiological marker for autism spectrum disorder (ASD ...
Luis Roberto Mercado-Diaz +6 more
doaj +2 more sources
Target position estimation is one of the important research directions in array signal processing. In recent years, the research of target azimuth estimation based on graph signal processing (GSP) has sprung up, which provides new ideas for the Direction
Kefei Liao +3 more
doaj +3 more sources
Inferring Cortical Connectivity From ECoG Signals Using Graph Signal Processing [PDF]
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
doaj +2 more sources
Community-Aware Graph Signal Processing: Modularity Defines New Ways of Processing Graph Signals [PDF]
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 Petrović +2 more
exaly +3 more sources
Graph Signal Processing: Overview, Challenges, and Applications [PDF]
To appear, Proceedings of the ...
Antonio Ortega +2 more
exaly +5 more sources
A joint range–angle–velocity estimation algorithm for FDA-MIMO radar based on graph signal processing [PDF]
In 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
doaj +2 more sources
Machine Learning and Graph Signal Processing Applied to Healthcare: A Review [PDF]
Signal 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
doaj +2 more sources
Adaptive graph signal processing for robust multimodal fusion with dynamic semantic alignment [PDF]
In this paper, we introduce an Adaptive Graph Signal Processing with Dynamic Semantic Alignment (AGSP-DSA) framework to perform robust multimodal data fusion across heterogeneous sources, including text, audio, and images.
K. V. Karthikeya +4 more
doaj +2 more sources
Graph Filters for Signal Processing and Machine Learning on Graphs
Filters are fundamental in extracting information from data. For time series and image data that reside on Euclidean domains, filters are the crux of many signal processing and machine learning techniques, including convolutional neural networks. Increasingly, modern data also reside on networks and other irregular domains whose structure is better ...
Fernando Gama +2 more
exaly +4 more sources

