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Decision Theoretic Approach employs four parameters - the desired false positive rate (alpha), the desired detection rate (beta), the history buffer length and the low-pass median filter length. We apply the median filter of minimum length 7 to remove the high frequency component. We then determine the optimum history buffer length by empirical observation. This turns out to be 90. Opting for the maximum detection rate of 0.99, we vary the desired false positive rate to obtain the entire spectrum of the ratio of true-positive rate to false positive rate. Based on the observations we plot the ROC curves as shown in figure 2. One set of data points is shown in table 5.
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