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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| 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 |