THIS GRANT IS A CONTINUATION OF N00014-13-1-0632: The Information Content of Ocean Noise: Theory and Experiment

Abstract

The MURI team led by the PI will develop a scalable methodology to exploit ambient noise to estimate geo/ocean parameters and their evolution with time by: 1) developing a theoretical understanding of the information content available in the combination of acoustic data and a priori information, including physical models, 2) developing data processing and inversion methods that attain this information extraction goal and 3) experimentally validating results.

Document Details

Document Type
DoD Grant Award
Publication Date
Jun 10, 2016
Source ID
N000141612129

Entities

People

  • W. A. Kuperman

Organizations

  • Office of Naval Research
  • United States Navy
  • University of California, San Diego

Tags

Readers

  • Atmospheric Science / Meteorology, specifically Wind Wave Turbulence.
  • Distributed Systems and Data Platform Development

Technology Areas

  • AI & ML