Results 11 to 20 of about 163,050 (112)

ERG-Graph: Graph Signal Processing of the Electroretinogram for Classification of Neurodevelopmental Disorders [PDF]

Bioengineering
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, Javier O. Pinzon-Arenas, Paul A. Constable, Irene O. Lee, Lynne Loh, Dorothy A. Thompson, Hugo F. Posada-Quintero   +6 more
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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, Brian Mogen, Stavros Zanos, Stephanie C. Seeman, Steve I. Perlmutter, Eberhard Fetz, Ashkan Ashrafi   +6 more
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Joint Estimation of Azimuth and Distance for Far-Field Multi Targets Based on Graph Signal Processing

Remote 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, Zerui Yu, Ningbo Xie, Junzheng Jiang   +3 more
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A joint range–angle–velocity estimation algorithm for FDA-MIMO radar based on graph signal processing [PDF]

Scientific 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, Ao Meng, Kefei Liao, Ningbo Xie, Xianglai Liao, Hanbo Chen, Kamarul Hawari Bin Ghazali   +6 more
doaj   +2 more sources

Adaptive graph signal processing for robust multimodal fusion with dynamic semantic alignment [PDF]

Scientific 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, Arun Sekar Rajasekaran, Ashok Kumar Das, Vivekananda Bhat K, Shantanu Pal   +4 more
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Machine Learning and Graph Signal Processing Applied to Healthcare: A Review [PDF]

Bioengineering
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, Felipe A. B. S. Ferreira, Fernando A. N. Santos, Francisco Madeiro, Juliano B. Lima   +4 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, Manuela Petti, Lorenzo Farina, Gaetano Scarano, Francesca Cuomo   +4 more
doaj   +1 more source

Signal Processing on Simplicial Complexes With Vertex Signals

IEEE Access, 2022
In classical graph signal processing (GSP), the underlying topological structures are restricted in terms of dimensionality. A graph or a 1-complex is a combinatorial object that models binary relations, which do not directly capture complex high arity ...
Feng Ji, Giacomo Kahn, Wee Peng Tay
doaj   +1 more source

Graph wavelet transform for image texture classification

IET Image Processing, 2021
Graph is a data structure that can represent complex relationships among data. Graph signal processing, unlike traditional signal processing, explicitly considers the structure and relationship among the signal samples.
Yu‐Long Qiao, Yue Zhao, Chun‐Yan Song, Kai‐Ge Zhang, Xue‐Zhi Xiang   +4 more
doaj   +1 more source

Graph signal processing based underwater image enhancement techniques

Engineering Science and Technology, an International Journal, 2022
This paper presents two new methods based on graph signal processing (GSP) techniques to enhance underwater images. The proposed schemes utilize the graph Fourier transform (GFT) and graph wavelet filterbanks in place of the conventional Fourier and ...
Shobha Sharma, Tarun Varma
doaj   +1 more source