A novel adaptive resampling for sequential Bayesian filtering to improve frequency estimation of time-varying signals

This paper presents a new algorithm for adaptive resampling, called percentile-based resampling (PBR) in a sequential Bayesian filtering, i.e., particle filter (PF) in particular, to improve tracking quality of the frequency trajectories under noisy environments. Since the conventional resampling sc...

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Detalles Bibliográficos
Autores principales: Aunsri, Nattapol, Pipatphol, Kunrutai, Thikeaw, Benjawan, Robroo, Satchakorn, Chamnongthai, Kosin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8050938/
https://www.ncbi.nlm.nih.gov/pubmed/33889786
http://dx.doi.org/10.1016/j.heliyon.2021.e06768

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8050938/
https://www.ncbi.nlm.nih.gov/pubmed/33889786
http://dx.doi.org/10.1016/j.heliyon.2021.e06768

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