Optimizing the Energy Efficiency of Unreliable Memories for Quantized Kalman Filtering

This paper presents a quantized Kalman filter implemented using unreliable memories. We consider that both the quantization and the unreliable memories introduce errors in the computations, and we develop an error propagation model that takes into account these two sources of errors. In addition to...

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Detalles Bibliográficos
Autores principales: Kern, Jonathan, Dupraz, Elsa, Aïssa-El-Bey, Abdeldjalil, Varshney, Lav R., Leduc-Primeau, François
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8838220/
https://www.ncbi.nlm.nih.gov/pubmed/35161599
http://dx.doi.org/10.3390/s22030853

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8838220/
https://www.ncbi.nlm.nih.gov/pubmed/35161599
http://dx.doi.org/10.3390/s22030853

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