Bayesian approaches to geoacoustic inversion

Authors

  • 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.

Additional Files

Published

2002-09-01

How to Cite

1.
Lapinski A-LS. Bayesian approaches to geoacoustic inversion. Canadian Acoustics [Internet]. 2002 Sep. 1 [cited 2024 May 19];30(3):96-7. Available from: https://jcaa.caa-aca.ca/index.php/jcaa/article/view/1472

Issue

Section

Proceedings of the Acoustics Week in Canada