Method for enhancing a computer to estimate an uncertainty of an onset of a signal of interest in timeseries noisy data
Abstract
A computerimplemented method of enhancing a computer to estimate an uncertainty of an onset of a signal of interest in timeseries noisy data. A first mathematical model of first time series data that contains only noise is calculated. A second mathematical model of second time series data that contains the noise and an onset of a signal of interest in the second time series data is calculated. A difference is evaluated between a first combination, being the first mathematical model and the second mathematical model, and a second combination, being the first time series data and the second time series data, wherein evaluating is performed using a generalized entropy metric. A specific time when an onset of the signal of interest occurs is estimated from the difference. An “a posteriori” distribution is derived for an uncertainty of the specific time at which the onset occurs.
 Inventors:
 Issue Date:
 Research Org.:
 Sandia National Lab. (SNLNM), Albuquerque, NM (United States)
 Sponsoring Org.:
 USDOE National Nuclear Security Administration (NNSA)
 OSTI Identifier:
 1771713
 Patent Number(s):
 10859721
 Application Number:
 15/885,255
 Assignee:
 National Technology & Engineering Solutions of Sandia, LLC (Albuquerque, NM)
 Patent Classifications (CPCs):

G  PHYSICS G01  MEASURING G01V  GEOPHYSICS
G  PHYSICS G06  COMPUTING G06N  COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
 DOE Contract Number:
 NA0003525
 Resource Type:
 Patent
 Resource Relation:
 Patent File Date: 01/31/2018
 Country of Publication:
 United States
 Language:
 English
Citation Formats
Stracuzzi, David John, Peterson, Matthew Gregor, and Vollmer, Charles Theodore. Method for enhancing a computer to estimate an uncertainty of an onset of a signal of interest in timeseries noisy data. United States: N. p., 2020.
Web.
Stracuzzi, David John, Peterson, Matthew Gregor, & Vollmer, Charles Theodore. Method for enhancing a computer to estimate an uncertainty of an onset of a signal of interest in timeseries noisy data. United States.
Stracuzzi, David John, Peterson, Matthew Gregor, and Vollmer, Charles Theodore. Tue .
"Method for enhancing a computer to estimate an uncertainty of an onset of a signal of interest in timeseries noisy data". United States. https://www.osti.gov/servlets/purl/1771713.
@article{osti_1771713,
title = {Method for enhancing a computer to estimate an uncertainty of an onset of a signal of interest in timeseries noisy data},
author = {Stracuzzi, David John and Peterson, Matthew Gregor and Vollmer, Charles Theodore},
abstractNote = {A computerimplemented method of enhancing a computer to estimate an uncertainty of an onset of a signal of interest in timeseries noisy data. A first mathematical model of first time series data that contains only noise is calculated. A second mathematical model of second time series data that contains the noise and an onset of a signal of interest in the second time series data is calculated. A difference is evaluated between a first combination, being the first mathematical model and the second mathematical model, and a second combination, being the first time series data and the second time series data, wherein evaluating is performed using a generalized entropy metric. A specific time when an onset of the signal of interest occurs is estimated from the difference. An “a posteriori” distribution is derived for an uncertainty of the specific time at which the onset occurs.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2020},
month = {12}
}
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