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....

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Detalles Bibliográficos
Autores principales: Polydorides, N., Tsekenis, S.-A., McCann, H., Prat, V.-D. A., Wright, P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society Publishing 2016
Materias:
Research Articles
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

Internet

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

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