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An efficient approach for limited-data chemical species tomography and its error bounds
We present a computationally efficient reconstruction method for the limited-data chemical species tomography problem that incorporates projection of the unknown gas concentration function onto a low-dimensional subspace, and regularization using prior information obtained from a simple flow model....
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
The Royal Society Publishing
2016
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4841490/ https://www.ncbi.nlm.nih.gov/pubmed/27118923 http://dx.doi.org/10.1098/rspa.2015.0875 |