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We have described how the GPS satellites construct the GPS signals. Actually, the receiver also generates GPS-like signals internally. The receiver knows precisely what the transmitted GPS signal is supposed to look like at any given time, and it generates an electronic replica, in synchronization with the receiver s own clock. The receiver then compares the replica signal with the actual signal. Since the GPS signal was actually created in the satellite some time previously (about 0.07 seconds ago, due to the speed of light), the receiver s replica signal must be delayed to match up the incoming signal with the replica signal. This time delay is actually what the receiver is fundamentally measuring. Clearly, this represents the time taken for the signal to pass from the satellite to the receiver, but it also includes any error in the satellite clock, and any error in the receiver clock. One can see that the time delay is therefore related to the range to the satellite. We return to this model later, and now turn our attention to how the receiver matches the two signals. The time difference is computed by autocorrelation. The rst bit from signal one is multiplied by the rst bit of signal two. For example, if the rst bits from the two signals both have values 1, then the result is ( 1) ( 1) = +1. Similarly, if both bits have values +1, then the result is +1. On the other hand, if the two bits disagree, the result is (+1) ( 1) = 1. This process is repeated for the second pair of bits, and so on. The result can be written as a sequence of +1 (where the

The rst group will use the prediction models to prioritize customers The second group will be assigned a random ranking of customers The sales associates will not know whether they are using the prediction model or not Differences in terms of retention of customers will be compared between the two groups This study will determine whether the accuracy of the model translates into meeting the business objectives When phase one has been successfully completed, a roll-out of the solution will take place and changes will be made to the business processes A meeting will be held after each stage of the process with the entire group to review what has been accomplished and agree on a plan for the next stage There are a number of risks and contingencies that need to be built into the plan.

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latter point means that rigorous scienti c scrutiny of Farwell s technique has not yet taken place. To back up his claim of high accuracy, Farwell refers on his website to his study with Smith published in 2001. In their well-documented report, the National Research Council (2003, p. 162) discuss this study and note that the range of stimuli to which examinees were exposed were very small, and the sample size was very small . . . Whether these ndings generalise to other, more complex contexts in larger groups is not known. Interesting is the view of Emanuel Donchin, a psychophysiologist working at the University of South Florida, and Farwell s former graduate adviser and co-author on one of Farwell s articles. Re ecting on Farwell s technique he reports that The necessary research has never been done (Knight, 2004). In other words, the accuracy of brain ngerprinting is not as well established as Dr Farwell suggests ( 12). Ruben Gur examines activity in brain structures and areas. He is part of a research group that claims that their test is 99% accurate in distinguishing truths from lies and ready to detect terrorists (Wild, 2005). The 99% accuracy study has not been published in a peer reviewed journal, and the accuracy rates that have been published in such journals to date are lower. Moreover, the premise behind the lie detection technique Gur promotes could be too simplistic. Gur claims that a lie is always more complicated than the truth (Wild, 2005), which is not necessarily the case, as this book reveals ( 13).

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