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On Data-Driven Sparse Sensing and Linear Estimation of Fluid Flows
The reconstruction of fine-scale information from sparse data measured at irregular locations is often needed in many diverse applications, including numerous instances of practical fluid dynamics observed in natural environments. This need is driven by tasks such as data assimilation or the recover...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2020
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7374391/ https://www.ncbi.nlm.nih.gov/pubmed/32635527 http://dx.doi.org/10.3390/s20133752 |