Parametric Bayesian level set approach with radial basis expansion and Metropolis-Hastings sampling reconstructs acoustic sources from multiple frequency data, proving posterior well-posedness and showing competitive numerical results.
Iglesias, A regularizing iterative ensemble Kalman method for PDE-constrained inverse problems, Inverse Problems 32 (2016) 025002 (45pp)
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A parametric Bayesian level set approach for acoustic source identification using multiple frequency information
Parametric Bayesian level set approach with radial basis expansion and Metropolis-Hastings sampling reconstructs acoustic sources from multiple frequency data, proving posterior well-posedness and showing competitive numerical results.