Kristin H. Jarman - Richland WA Don Simone Daly - Richland WA Kevin K. Anderson - Richland WA Karen L. Wahl - Richland WA
Assignee:
Battelle Memorial Institute - Richland WA
International Classification:
H01J 4900
US Classification:
702179, 702 69, 250282, 340541
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 window-of-interest 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.
Kristin Jarman - Richland WA Alan Willse - Richland WA Karen Wahl - Richland WA Jon Wahl - Richland WA
Assignee:
Battelle Memorial Institute - Richland WA
International Classification:
G06F 1900
US Classification:
702189, 250281, 250282, 702 28, 702181
Abstract:
A method and apparatus using a spectral analysis technique are disclosed. In one form of the invention, probabilities are selected to characterize the presence (and in another form, also a quantification of a characteristic) of peaks in an indexed data set for samples that match a reference species, and other probabilities are selected for samples that do not match the reference species. An indexed data set is acquired for a sample, and a determination is made according to techniques exemplified herein as to whether the sample matches or does not match the reference species. When quantification of peak characteristics is undertaken, the model is appropriately expanded, and the analysis accounts for the characteristic model and data. Further techniques are provided to apply the methods and apparatuses to process control, cluster analysis, hypothesis testing, analysis of variance, and other procedures involving multiple comparisons of indexed data.
Kristin H. Jarman - Richland WA Don Simone Daly - Richland WA Kevin K. Anderson - Richland WA Karen L. Wahl - Richland WA
Assignee:
Battelle Memorial Institute - Richland WA
International Classification:
H01J 4900
US Classification:
702179
Abstract:
The present invention is a method of identifying features in indexed data, especially useful for distinguishing signal from noise in data provided as a plurality of ordered pairs. Each of the plurality of ordered pairs has an index and a response. The method has the steps of: (a) providing an index window having a first window end located on a first index and extending across a plurality of indices to a second window end; (b) selecting responses corresponding to the plurality of indices within the index window and computing a measure of dispersion of the responses; and (c) comparing the measure of dispersion to a dispersion critical value. Advantages of the present invention include minimizing signal to noise ratio, signal drift, varying baseline signal and combinations thereof.