Woodard, Emhardt, Naughton, Moriarty & McNett
Method of identifying features in indexed data
 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. 
Battelle Memorial Institute
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G06K H01J G06F G06K
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Don Simone Kevin K. Kristin H. Karen L.
Daly Anderson Jarman Wahl