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Title: Nuclear test ban treaty verification: Improving test ban monitoring with empirical and model-based signal processing

In this approach, small scale-length medium perturbations not modeled in the tomographic inversion might be described as random fields, characterized by particular distribution functions (e.g., normal with specified spatial covariance). Conceivably, random field parameters (scatterer density or scale length) might themselves be the targets of tomographic inversions of the scattered wave field. As a result, such augmented models may provide processing gain through the use of probabilistic signal sub spaces rather than deterministic waveforms.
Authors:
 [1] ;  [2] ;  [3] ;  [4]
  1. Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
  2. NORSAR, Kjeller (Norway)
  3. Univ. of Colorado, Boulder, CO (United States)
  4. Univ. of California, Berkeley, CA (United States)
Publication Date:
OSTI Identifier:
1239213
Report Number(s):
LLNL-JRNL--522935
Journal ID: ISSN 1053-5888
Grant/Contract Number:
AC52-07NA27344
Type:
Accepted Manuscript
Journal Name:
IEEE Signal Processing Magazine
Additional Journal Information:
Journal Volume: 29; Journal Issue: 3; Journal ID: ISSN 1053-5888
Research Org:
Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
Sponsoring Org:
USDOE
Country of Publication:
United States
Language:
English
Subject:
42 ENGINEERING; 58 GEOSCIENCES