Implementation of Kalman Filtering with Spiking Neural Networks

A Kalman filter can be used to fill space–state reconstruction dynamics based on knowledge of a system and partial measurements. However, its performance relies on accurate modeling of the system dynamics and a proper characterization of the uncertainties, which can be hard to obtain in real-life sc...

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Detalles Bibliográficos
Autores principales: Juárez-Lora, Alejandro, García-Sebastián, Luis M., Ponce-Ponce, Victor H., Rubio-Espino, Elsa, Molina-Lozano, Herón, Sossa, Humberto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9695172/
https://www.ncbi.nlm.nih.gov/pubmed/36433442
http://dx.doi.org/10.3390/s22228845

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9695172/
https://www.ncbi.nlm.nih.gov/pubmed/36433442
http://dx.doi.org/10.3390/s22228845

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