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the external phase velocity). As it propagates, the electromagnetic wave dies exponentially according to the skin depth, , loosing energy to heat in the conductor. The turnaround in the eld lines at small radius, r, is a result of surface current density that was induced by the external eld intensity a half cycle before this snapshot was taken. If the sphere has a small radius, ai, then power can propagate all the way through the sphere and reemerge at a delayed time to contribute a phase-shifted component to the incident plane wave. The eld intensity that penetrates the conducting sphere moves at slow speed u p( ) = ( c r ( ) ) 2 0 c (see Equation 6.53) and has a complex wave vector in the negative radial direction, = r, and we recall that this wave vector shows that the electric eld intensity leads the magnetic eld intensity into the conductor with a phase angle of 45 . This means the tangential component of the electric eld intensity induced at the outside surface (in the propagating medium) also leads the magnetic eld intensity by 45 , as was con rmed by Equation 7.110 in Maxwell s Equations. We cannot measure the instantaneous eld intensities inside the sphere to con rm these functional forms but we can conduct a simulation of the eld propagation with numerical solvers. Typically, numerically eld solvers do not know anything about vector spherical harmonics, Bessel functions, or transverse solutions but are a brute force method of computing the eld at a point due to the elds at adjacent points and they are set up to solve Maxwell s equations in an iterative process that

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As mentioned before, various implementations are possible depending on the desired sampling rate at the output of the correlator For example, the local template can be a train of (Ns ) pulses with the delays between them according to the used TH code Each correlator output will be the symbol-spaced samples Note that the integration time in the correlators is one symbol period The starting point of the integrators in each branch will be determined by the tap delay estimate If the local correlator is a single pulse (instead of a pulse train), frame-spaced samples can be obtained In this case, the integrator needs to be triggered depending on the tapdelays and relative delays due to the time hopping codes used for each pulse The advantage of the frame-spaced sampling is that the samples obtained for each frame can be combined optimally to improve the detection of the symbols.

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Approximate Solutions Derived from Matched Filtering Even though the matched ltering receiver described in previous section performs well, it comes at the expense of computational and hardware complexity, especially for UWB.

Now you are all set. The next script enumerates all currently running window titles, and Figure 10-4 shows a sample result:

Property Application As Object Function ExtendedProperty (ByVal bstrPropName As String)

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The advent of major commerce on the Internet has brought with it very complex, business critical software applications. These applications challenge the software tester to identify as many traditional testing approaches as possible that are still appropriate and effective for e-commerce testing. Where traditional testing approaches fail, the software tester is challenged to nd a minimum number of new, reusable testing approaches that ll the traditional testing approach gap. Because e-commerce is surely not the last frontier of software development, the way we extend our traditional testing approaches to e-commerce applications may give us a clue about the way we can approach the next software development frontiers and resist the temptation to discard all of our traditional testing approaches and experience.

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traf c than laptops owing to a combination of differences in terminal capabilities and billing schemes However, laptop data-cards are still an important subset in the UMTS terminal population The comparison between the ratios of volume to user shares shows that the average per-user traf c is larger for UMTS than for GPRS This was expected, given that UMTS delivers a higher data rate and hence a better user experience than GPRS, despite the fact that they share the same at rates As a next step we directly evaluated the weekly volume generated by individual users The per-user volume distributions for GPRS and UMTS in TR2 are reported in Figure 123 All values are in Mbyte/week Figure 123(a) reports the complementary cumulative distribution function (ccdf) It can be seen that the median is around 82 Mbyte/week for UMTS and only 102 kbyte/week for GPRS.

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