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Figure 7.2 shows a software parametric EQ. You can see that it offers four fully parametric controls, along with both high and low pass EQ. Using a parametric EQ is very much like a graphic EQ, with the added ability to adjust the Q. To find the frequency you want, choose a very narrow Q and boost that frequency. Preview your audio, and move the frequency setting back and forth until you hit your target. Next, set your Q (remember: boost wide, cut narrow). Then adjust the boost or cut until your audio sounds the way you want it. If you want to work on another frequency, just use the same approach: Find, set your Q, and apply the right amount of boost or cut.

If you need a closer look at your presentation, you can zoom the view in or out to accommodate almost any situation. For example, if you have trouble placing a graphic exactly at the same vertical level as some text in a box next to it, you can zoom in for more precision. You can view your work at various magni cations on-screen without changing the size of the surrounding tools or the size of the print on the printout. In Normal view, each of the panes has its own individual zoom. To set the zoom for the Slides/Outline pane only, for example, select it rst; then choose a zoom level. Or to zoom only in the main workspace (the Slide pane), click it rst. In a single-pane view such as Notes Page or Slide Sorter, a single zoom setting affects the entire work area. The larger the zoom number, the larger the details on the display. A zoom of 10% would make a slide so tiny that you couldn t read it. A zoom of 400% would make a few letters on a slide so big they would ll the entire pane.

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In Figure 10.54, you see an image subjected to the Dust & Scratches filter (the original appears first, on the left) with a Radius of 2 and a Threshold value of 20. The moir s are for the most part gone, but the edges have all but disappeared as well. In the third version of the image (on the right), the Gaussian Blur, Median, and Unsharp Mask filters have been applied, and the result is an image with no moir , and with a bit more contrast and a bit more detail an improvement over the middle image, which was simply subjected to the Dust & Scratches filter.

to maintenance, or the unavailability of a server for a particular customer class due to the fact that the server is occupied by another customer class. One also often speaks about server vacation models in this context, simply because from a customer server is taking a vacation and cannot serve customers for some time. There are many aspects that characterise from the normal concerning

FIGURE 8.23 Check the boxes for the marks you want to appear on the PDF document and select the page range.

FIGURE 10-8

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Theorem 2.2 Let V be a Hilbert space and V, C V, C . . . C V a sequence o its$nite f dimensional subspaces such that (2.41,

2. Uniqueness: For any pair of input vectors x , t E X , we have F ( x ) = F(t)if, and only if, x = t.

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Exercise 5.5 Verifjl that the second-order IRK method based on the implicit midpoint rule from Example 5.1 is not L-stable. Exercise 5.6 Show (without using Theorem 5.4) that the third-order Radau IRK method from Example 5. I is L-stable. Hint: Apply the method to the linear autonomous system (5.49), write its stability function R ( z ) ,and ver$y the conditions for A- and L-stability. Exercise 5.7 Prove the second formula (5.91)in Lemma 5.9 using the same technique as for thejrst formula (5.90). Exercise 5.8 Consider the 2-stage Gauss IRK method from Paragraph 5.4.2.

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