Identification of features in indexed data and equipment therefore
Abstract
Embodiments of the present invention provide methods of identifying a feature in an indexed dataset. Such embodiments encompass selecting an initial subset of indices, the initial subset of indices being encompassed by an initial windowofinterest and comprising at least one beginning index and at least one ending index; computing an intensity weighted measure of dispersion for the subset of indices using a subset of responses corresponding to the subset of indices; and comparing the intensity weighted measure of dispersion to a dispersion critical value determined from an expected value of the intensity weighted measure of dispersion under a null hypothesis of no transient feature present. Embodiments of the present invention also encompass equipment configured to perform the methods of the present invention.
 Inventors:

 Richland, WA
 Issue Date:
 Research Org.:
 Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
 Sponsoring Org.:
 USDOE
 OSTI Identifier:
 874328
 Patent Number(s):
 6366870
 Assignee:
 Battelle Memorial Institute (Richland, WA)
 Patent Classifications (CPCs):

G  PHYSICS G06  COMPUTING G06K  RECOGNITION OF DATA
H  ELECTRICITY H01  BASIC ELECTRIC ELEMENTS H01J  ELECTRIC DISCHARGE TUBES OR DISCHARGE LAMPS
 DOE Contract Number:
 AC0676RL01830
 Resource Type:
 Patent
 Country of Publication:
 United States
 Language:
 English
 Subject:
 identification; features; indexed; data; equipment; embodiments; provide; methods; identifying; feature; dataset; encompass; selecting; initial; subset; indices; encompassed; windowofinterest; comprising; beginning; index; computing; intensity; weighted; measure; dispersion; responses; comparing; critical; value; determined; expected; hypothesis; transient; configured; perform; /702/250/340/
Citation Formats
Jarman, Kristin H, Daly, Don Simone, Anderson, Kevin K, and Wahl, Karen L. Identification of features in indexed data and equipment therefore. United States: N. p., 2002.
Web.
Jarman, Kristin H, Daly, Don Simone, Anderson, Kevin K, & Wahl, Karen L. Identification of features in indexed data and equipment therefore. United States.
Jarman, Kristin H, Daly, Don Simone, Anderson, Kevin K, and Wahl, Karen L. Tue .
"Identification of features in indexed data and equipment therefore". United States. https://www.osti.gov/servlets/purl/874328.
@article{osti_874328,
title = {Identification of features in indexed data and equipment therefore},
author = {Jarman, Kristin H and Daly, Don Simone and Anderson, Kevin K and Wahl, Karen L},
abstractNote = {Embodiments of the present invention provide methods of identifying a feature in an indexed dataset. Such embodiments encompass selecting an initial subset of indices, the initial subset of indices being encompassed by an initial windowofinterest and comprising at least one beginning index and at least one ending index; computing an intensity weighted measure of dispersion for the subset of indices using a subset of responses corresponding to the subset of indices; and comparing the intensity weighted measure of dispersion to a dispersion critical value determined from an expected value of the intensity weighted measure of dispersion under a null hypothesis of no transient feature present. Embodiments of the present invention also encompass equipment configured to perform the methods of the present invention.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2002},
month = {4}
}
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