This paper develops a probabilistic two-dimensional (2D) inversion for geoacoustic seabed and water-column parameters in a strongly range-dependent environment. Range-dependent environments in shelf and shelf-break regions are of increasing importance t
The long-term objective of this work is to develop methods for rapid assessment of seabed variabilit...
The objective of this paper is to develop and evaluate an inversion algorithm for estimating the par...
Seabed parameters are inverted from ambient noise measurements at two shallow tropical environments ...
This paper develops a general trans-dimensional Bayesian methodology for geoacoustic inversion. Tran...
This paper develops a sequential trans-dimensional Monte Carlo algorithm for geoacoustic inversion i...
This paper develops a trans-dimensional approach to matched-field geoacoustic inversion, including i...
This article proposes a transdimensional (trans-D) geoacoustic inversion method adapted to range-dep...
This paper considers Bayesian inversion of seabed reflection-coefficient data for multi-layer geoaco...
This paper develops an efficient Bayesian sampling approach to geoacoustic scattering and reflection...
This paper applies Bayesian inference, including model selection and posterior parameter inference, ...
This paper describes a Bayesian approach to matched-field inversion (MFI) of ocean acoustic data for...
The long term goal of this project is to develop efficient inversion algorithms for successful geoac...
The long term goal of this project is to develop efficient inversion algorithms for successful geoac...
The long term goal of this project is to develop efficient inversion algorithms for successful geoac...
The prediction of the acoustic field evolution on a day to week frame, in a given oceanic area, is a...
The long-term objective of this work is to develop methods for rapid assessment of seabed variabilit...
The objective of this paper is to develop and evaluate an inversion algorithm for estimating the par...
Seabed parameters are inverted from ambient noise measurements at two shallow tropical environments ...
This paper develops a general trans-dimensional Bayesian methodology for geoacoustic inversion. Tran...
This paper develops a sequential trans-dimensional Monte Carlo algorithm for geoacoustic inversion i...
This paper develops a trans-dimensional approach to matched-field geoacoustic inversion, including i...
This article proposes a transdimensional (trans-D) geoacoustic inversion method adapted to range-dep...
This paper considers Bayesian inversion of seabed reflection-coefficient data for multi-layer geoaco...
This paper develops an efficient Bayesian sampling approach to geoacoustic scattering and reflection...
This paper applies Bayesian inference, including model selection and posterior parameter inference, ...
This paper describes a Bayesian approach to matched-field inversion (MFI) of ocean acoustic data for...
The long term goal of this project is to develop efficient inversion algorithms for successful geoac...
The long term goal of this project is to develop efficient inversion algorithms for successful geoac...
The long term goal of this project is to develop efficient inversion algorithms for successful geoac...
The prediction of the acoustic field evolution on a day to week frame, in a given oceanic area, is a...
The long-term objective of this work is to develop methods for rapid assessment of seabed variabilit...
The objective of this paper is to develop and evaluate an inversion algorithm for estimating the par...
Seabed parameters are inverted from ambient noise measurements at two shallow tropical environments ...