Results 1 to 10 of about 4,180,610 (156)

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

State Estimation in Partially Observable Power Systems via Graph Signal Processing Tools

Sensors, 2023
This paper considers the problem of estimating the states in an unobservable power system, where the number of measurements is not sufficiently large for conventional state estimation.
Lital Dabush, Ariel Kroizer, Tirza Routtenberg   +2 more
doaj   +3 more sources

Topological Signal Processing from Stereo Visual SLAM [PDF]

Sensors
Topological 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, Tommaso Latino, Maria Sanzone, Alessia Trozzo, Stefania Colonnese   +4 more
doaj   +2 more sources

Neural decoding of imagined speech from EEG signals using the fusion of graph signal processing and graph learning techniques

Neuroscience Informatics, 2022
Imagined Speech (IS) is the imagination of speech without using the tongue or muscles. In recent studies, IS tasks are increasingly investigated for the Brain-Computer Interface (BCI) applications. Electroencephalography (EEG) signals, which record brain
Aref Einizade, Mohsen Mozafari, Shayan Jalilpour, Sara Bagheri, Sepideh Hajipour Sardouie   +4 more
doaj   +3 more sources

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
doaj   +2 more sources

STAID: A Self-Refining Deep Learning Framework for Spatial Cell-Type Deconvolution with Biologically Informed Modeling. [PDF]

Adv Sci (Weinh)
STAID is a unified deep learning framework that couples iterative pseudo‐spot refinement with neural network training through a feedback loop and exploits gene co‐expression information to model higher‐order interactions, achieving accurate and robust cell‐type deconvolution in spatial transcriptomics.
Liu J, Sun S, Lv Z, Liu X, Wang Y, Liu B.   +5 more
europepmc   +2 more sources

RETRACTED ARTICLE: Spectral feature modeling with graph signal processing for brain connectivity in autism spectrum disorder

Scientific Reports
Autism spectrum disorder (ASD) is a complex neurodevelopmental condition associated with disrupted brain connectivity. Traditional graph-theoretical approaches have been widely employed to study ASD biomarkers; however, these methods are often limited to
Ayesha Jabbar, Huang Jianjun, Muhammad Kashif Jabbar, Khalil ur Rehman, Anas Bilal   +4 more
doaj   +2 more sources

A Dimensionality Reduction Approach for Motor Imagery Brain–Computer Interface Using Functional Clustering and Graph Signal Processing [PDF]

Journal of Medical Signals and Sensors
Background: This paper introduces an approach for dimensionality reduction and classification of electroencephalogram signals in motor imagery brain–computer interface (MI-BCI) systems.
Mohammad Davood Khalili, Vahid Abootalebi, Hamid Saeedi-Sourck   +2 more
doaj   +2 more sources

Improving Event-Based Non-Intrusive Load Monitoring Using Graph Signal Processing

IEEE Access, 2018
Large-scale smart energy metering deployment worldwide and integration of smart meters within the smart grid will enable two-way communication between the consumer and energy network, thus ensuring improved response to demand.
Bochao Zhao, Kanghang He, Lina Stankovic, Vladimir Stankovic   +3 more
doaj   +3 more sources

Graphs Constructed from Instantaneous Amplitude and Phase of Electroencephalogram Successfully Differentiate Motor Imagery Tasks [PDF]

Journal of Medical Signals and Sensors
Background: Accurate classification of electroencephalogram (EEG) signals is challenging given the nonlinear and nonstationary nature of the data as well as subject-dependent variations.
Maliheh Miri, Vahid Abootalebi, Hamid Saeedi-Sourck, Dimitri Van De Ville, Hamid Behjat   +4 more
doaj   +2 more sources