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Formula (34) above can be extended and generalized as follows to include all the other noise contributions and to derive the final result in the total (C/N0) for the overall link budget from earth station A to earth station B: (c/n0)total 1 = (c/n0)u 1 + (c/n0)d 1 + (c/n0)i 1+ (c/n0)p 1 (35)

Lastly, consider the trade-off between shooting in RAW or JPEG formats. It may make sense when shooting some sports where you need to immediately upload images or turn over a disk of images right away to choose one over the other. While a RAW image le is larger and yields the most image data, it takes longer for the camera to transfer from its buffer to the storage card, and can ultimately keep you from shooting because the camera s buffer is full. For horse racing or motorsports, for example, shooting JPEGs might make more sense because it allows you to shoot longer bursts of continuous frames that can be written to the memory card that much faster. Try shooting your favorite sport in both formats to see if this is an issue for your style of shooting. If it s not, then I recommend shooting in RAW format for expanded image processing exibility. See 2 for a more detailed breakdown of image file formats.

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The t-statistic is calculated by Equation (14.1). We take the average value added and divide it by the standard deviation of the value added, which is divided by the square root of the number of observations. Average ( RP i RM i ) 0 t-statistic for value added = --------------------------------------------------------------------------------------------- (14.1) Standard deviation ( RP i RM i ) N Exhibit 14.1 is an example of the calculation of the t-statistic for the value added for our sample fund, which equals 0.69. The interpretation of the t-statistic depends on the number of observations used and the signi cance level selected. The signi cance level is the tolerance level for accepting that the manager has skill, when in fact he might not. In practice, a signi cance level of 5% is usually selected and the associated t-statistic required to reject the null hypothesis (that the value added is statistically undifferentiated from zero) is approximately two, depending on the number of observations. With 13 observations we would reject the null hypothesis if the t-statistic were greater than 1.782.1 Because it is not, we cannot reject the null hypothesis that the value added is statistically different from 0. The t-statistic works by comparing the value added to that which we might expect to observe given the standard deviation of the value added. If the t-statistic is high

GaussianQuadrature gq(order,100, 96, 4, 0.10, 0.20, 0.5, 0.10, 0.05, 0.05, 1); gq.gaussHermite(x,w,order); for (int i = 1; i <= order i++) { // compute sum of weighted function g at rescaled original values sum += w[i]*gq.g(x[i]*sqrt(2)/(0.1*0.2*sqrt(1-0.5*0.5))); } cout << value = << sum*(1/(sqrt(PI)) << endl; }

The monopulse method derives its name from radar technology. In this method, signals caused by azimuth and elevation misalignments are generated instantaneously in the antenna feed system and available at special "error" or "difference" antenna feed output ports. The first monopulse systems (multi-horn monopulse systems) made use of four primary horns symmetrically located around the focus. These horns provide beams slightly offset from the antenna boresight axis. Tracking signals are obtained by comparing the amplitude of the received signals between these beams. A one-dimensional explanation of the principle of this system is given in Figure 7.16 a). Two primary horns, denoted as A and B, respectively, are symmetrically positioned on both sides of the focus of the antenna. Their radiation patterns are shown in Figure 7.16 b). The angle difference between the antenna boresight axis and the satellite direction is obtained by coherently detecting the error signal ( signal) with reference to the sum signal ( signal), as shown in Figure 7.16 c), the two tracking signals being made available at the output parts of a hybrid circuit in the feed system. The disadvantage of these systems is that they require complicated and cumbersome feeds and that good radiation patterns cannot be obtained when these feeds are used.

See the AIMR Global Investment Performance Standards (Charlottesville, VA: Association for Investment Management and Research, 1999).

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