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Measurement Noise Recommendation for Efficient Kalman Filtering over a Large Amount of Sensor Data
To effectively maintain and analyze a large amount of real-time sensor data, one often uses a filtering technique that reflects characteristics of original data well. This paper proposes a novel method for recommending the measurement noise for Kalman filtering, which is one of the most representati...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6427546/ https://www.ncbi.nlm.nih.gov/pubmed/30866551 http://dx.doi.org/10.3390/s19051168 |