Results 1 to 10 of about 165,960 (156)

Graph Signal Processing: Vertex Multiplication [PDF]

open access: yesIEEE Signal Processing Letters, 2021
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]

open access: yesBioengineering
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

Joint Estimation of Azimuth and Distance for Far-Field Multi Targets Based on Graph Signal Processing

open access: yesRemote Sensing, 2022
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]

open access: yesIEEE 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
doaj   +2 more sources

Community-Aware Graph Signal Processing: Modularity Defines New Ways of Processing Graph Signals [PDF]

open access: yesIEEE 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 Petrović   +2 more
exaly   +3 more sources

Graph Signal Processing: Overview, Challenges, and Applications [PDF]

open access: yesProceedings of the IEEE, 2018
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]

open access: yesScientific Reports
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]

open access: yesBioengineering
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]

open access: yesScientific Reports
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

open access: yesIEEE Transactions on Signal Processing
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

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