The work formulates a sparsity-promoting inverse problem for source identification in tomographic sensing of chemical plumes using level-set representations of concentration thresholds.
Uncertainty quantification and atmospheric source estimation with a discrepancy- based and a state-dependent adaptative MCMC
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Sparsity-Driven Source Localization in Tomographic Sensing Applications
The work formulates a sparsity-promoting inverse problem for source identification in tomographic sensing of chemical plumes using level-set representations of concentration thresholds.