Bayesian approaches to geoacoustic inversion

  • Anna-Liesa S. Lapinski DRDC Atlantic, Dartmouth, NS, Canada
Keywords: Inverse problems, Parameter estimation, Probability density function, Sediments, Simulated annealing, Adaptive simplex simulated annealing (ASSA), Fast Gibbs samplers (FGS)

Abstract

The appropriate number of sediment layers and parameter estimates were determined by using the fast Gibbs sampler (FGS) approach and adaptive simplex simulated annealing (ASSA). An under-parameterized approach was applied to determine the appropriate number of sediment layers needed to represent the seabed. The results showed that the FGS while not as effective as ASSA, provided uncertainty bounds which were crucial for assessing the quality of the final estimate.
Published
2002-09-01
How to Cite
1.
Lapinski A-LS. Bayesian approaches to geoacoustic inversion. Canadian Acoustics [Internet]. 2002Sep.1 [cited 2019Aug.19];30(3):96-7. Available from: https://jcaa.caa-aca.ca/index.php/jcaa/article/view/1472
Section
Proceedings of the Acoustics Week in Canada