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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2021
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| Materias: | |
| 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 |