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From: Allan on 7 May 2010 10:29
I am requesting some help in a pattern recognition problem. Basically, I have two complex signals of which I have 50 samples of each. Each grouping of samples is a matrix of size 13 X. 80. I have taken each of the 50 matrix sees and added them together in order to get a "average" sample pattern. I can then generate a "contour" pattern for each of the samples and the "average" what I would like to do in terms of pattern recognition is to determine to what degree of specificity does each of the 50 samples compared to the "average". Also I would like to know to what degree each of the 50 samples of the second signal disagree with the original reference point average. Would a dynamic time warping (DTW) algorithm be appropriate, or is there a better mechanism?
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