A Bayesian approach to modal decomposition in ocean acoustics

Document Type

Article

Publication Date

11-17-2009

Abstract

A Bayesian approach is developed for modal decomposition from time-frequency representations of broadband acoustic signals propagating in underwater media. The goal is to obtain accurate estimates and posterior probability distributions of modal frequencies arriving at a specific time and their corresponding amplitudes, which can be employed for geoacoustic inversion. The proposed approach, optimized via Gibbs sampling, provides uncertainty information on modal characteristics via the posterior distributions, typically unavailable from traditional methods. © 2009 Acoustical Society of America.

Identifier

70449449061 (Scopus)

Publication Title

Journal of the Acoustical Society of America

External Full Text Location

https://doi.org/10.1121/1.3244037

ISSN

00014966

PubMed ID

19894790

First Page

EL147

Last Page

EL152

Issue

5

Volume

126

Grant

N000140510262

Fund Ref

Office of Naval Research

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