Time-frequency analysis with Bayesian filtering methods for dispersion tracking

Nattapol Aunsri, Zoi Heleni Michalopoulou

Research output: Contribution to journalConference articlepeer-review

Abstract

Iterative and sequential Bayesian filtering methods have been previously used in dispersion tracking for long range sound propagation in oceanic environments. In this work we combine previous approaches to develop an improved tracking methods, which will then be used to link the extracted time-frequency information to geoacoustic inversion. The main idea is that probability density functions and Maximum a Posteriori estimates computed for frequencies and arrival times via filtering are propagated "backwards" trough sound propagation models for geoacoustic inversion and quantification of the uncertainty in the estimation process.

Original languageEnglish (US)
Article number055071
JournalProceedings of Meetings on Acoustics
Volume19
DOIs
StatePublished - 2013
Event21st International Congress on Acoustics, ICA 2013 - 165th Meeting of the Acoustical Society of America - Montreal, QC, Canada
Duration: Jun 2 2013Jun 7 2013

All Science Journal Classification (ASJC) codes

  • Acoustics and Ultrasonics

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