Nuclear test ban treaty verification: Improving test ban monitoring with empirical and model-based signal processing
Abstract
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:
-
- Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
- NORSAR, Kjeller (Norway)
- Univ. of Colorado, Boulder, CO (United States)
- Univ. of California, Berkeley, CA (United States)
- Publication Date:
- Research Org.:
- Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1239213
- Report Number(s):
- LLNL-JRNL-522935
Journal ID: ISSN 1053-5888
- Grant/Contract Number:
- AC52-07NA27344
- Resource Type:
- Accepted Manuscript
- Journal Name:
- IEEE Signal Processing Magazine
- Additional Journal Information:
- Journal Volume: 29; Journal Issue: 3; Journal ID: ISSN 1053-5888
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 42 ENGINEERING; 58 GEOSCIENCES
Citation Formats
Harris, David B., Gibbons, Steven J., Rodgers, Arthur J., and Pasyanls, Michael E. Nuclear test ban treaty verification: Improving test ban monitoring with empirical and model-based signal processing. United States: N. p., 2012.
Web. doi:10.1109/MSP.2012.2184869.
Harris, David B., Gibbons, Steven J., Rodgers, Arthur J., & Pasyanls, Michael E. Nuclear test ban treaty verification: Improving test ban monitoring with empirical and model-based signal processing. United States. https://doi.org/10.1109/MSP.2012.2184869
Harris, David B., Gibbons, Steven J., Rodgers, Arthur J., and Pasyanls, Michael E. Tue .
"Nuclear test ban treaty verification: Improving test ban monitoring with empirical and model-based signal processing". United States. https://doi.org/10.1109/MSP.2012.2184869. https://www.osti.gov/servlets/purl/1239213.
@article{osti_1239213,
title = {Nuclear test ban treaty verification: Improving test ban monitoring with empirical and model-based signal processing},
author = {Harris, David B. and Gibbons, Steven J. and Rodgers, Arthur J. and Pasyanls, Michael E.},
abstractNote = {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.},
doi = {10.1109/MSP.2012.2184869},
journal = {IEEE Signal Processing Magazine},
number = 3,
volume = 29,
place = {United States},
year = {Tue May 01 00:00:00 EDT 2012},
month = {Tue May 01 00:00:00 EDT 2012}
}
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Cited by: 3 works
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