Sequential Geoacoustic Filtering and Geoacoustic Inversion

Abstract

The development of new geoacoustic inversion methods, their use in the analysis of shallow water experimental data, and evaluation of geoacoustic model and parameter uncertainties including the mapping of these uncertainties through to system performance uncertainties.

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Document Details

Document Type
Technical Report
Publication Date
Sep 30, 2014
Accession Number
ADA617708

Entities

People

  • Caglar Yardim
  • Peter Gerstoft
  • Ravi Menon
  • William Hodgkiss

Organizations

  • Scripps Institution of Oceanography

Tags

Communities of Interest

  • C4I

DTIC Thesaurus Topics

  • Acoustics
  • Ambient Noise
  • Bottom Loss
  • Compressed Sensing
  • Cross Correlation
  • Eigenvalues
  • Filters
  • Filtration
  • Inversion
  • Kalman Filters
  • Mathematical Filters
  • Oceans
  • Particles
  • Seabed
  • Sequential Monte Carlo Methods
  • Signal Processing
  • Statistical Inference

Fields of Study

  • Physics

Readers

  • Acoustical Oceanography.
  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.