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Activity Number:
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343
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Type:
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Contributed
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Date/Time:
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Tuesday, July 31, 2007 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Statisticians in Defense and National Security
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| Abstract - #310198 |
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Title:
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Multiple Signal Extraction in Seismic Array Data
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Author(s):
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Joshua Kerr*+ and Wolfang Polonik
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Companies:
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California State University, East Bay and University of California, Davis
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Address:
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25800 Carlos Bee Blvd., Hayward, CA, 94542-3004,
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Keywords:
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time series ; nonlinear regression ; signal
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Abstract:
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Signal extraction is, and has been, a very important field for quite some time, and for good reason. Upon receiving a seismic reading at a site, the goal is to extricate the signal of interest from the noise-polluted reading attained. This, in and of itself, is a daunting task that has been grappled with. The task mentioned is further compounded when there are multiple signals of interest embedded within the noisy reading. Once separation is established, one tries to garner where the signal came from and at what velocity. An application of this would be to detect if someone detonated a nuclear bomb under ground at the same time an earthquake happened elsewhere. This poster shows some asymptotic results and an example of its use.
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- The address information is for the authors that have a + after their name.
- Authors who are presenting talks have a * after their name.
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