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Title: Method for enhancing a computer to estimate an uncertainty of an onset of a signal of interest in time-series noisy data

Abstract

A computer-implemented method of enhancing a computer to estimate an uncertainty of an onset of a signal of interest in time-series 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. (SNL-NM), 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 time-series 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 time-series 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 time-series 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 time-series noisy data},
author = {Stracuzzi, David John and Peterson, Matthew Gregor and Vollmer, Charles Theodore},
abstractNote = {A computer-implemented method of enhancing a computer to estimate an uncertainty of an onset of a signal of interest in time-series 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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