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n New Layers Visible in All Frames: When you select this option, the new layers that you create on any frame are visible in all of the frames Deselect this option if you want to add a layer to a selected number of frames n Convert to Timeline: Just like the Converts to Timeline Mode button on the Animation (Frames) palette, choosing this option converts your frame-based animation to a Timeline animation n Palette Options: This option allows you to set a thumbnail size for the frames in your animation..

To save in a different location, see the section, Changing Drives and Folders. To save in a different format, see the section, Saving in a Different Format. n

Summary

d Wp y(k p).

Example 34.2 (Using Householder transformations)

1.5 0 (rad/samplc)

Find a condition on the step-size p such that the mean behavior of the weight-error vectors of both adaptive filters is stable. How would the condition on p change if ct = 1 and p = 1, i.e., if the nodes do not share spatial information Assume ct = p = 1/2. Argue that for the same step-size, the means of the weight error vectors will generally converge faster to zero than when there is no spatial cooperation among the nodes (as in part (b)).

This is an approximation, of course, because even though Pi and Pi' are the inverses of one another, it does not hold that their expected values will have the same inverse relation. Consider, for example, a random variable a: that is uniformly distributed inside the interval [l,2 . Its mean is 3/2. On the other hand, the random variable g = 1/z has mean value 1 equal to In 2. Still, approximation (19.12) is generally reasonable for Gaussian regressors. In order to illustrate this fact, we plot in Fig. 19.1 a curve showing how the matrices E P i and (1 - X)R;' compare for different forgetting factors, The curve in the figure is generated by running an RLS filter of order 5 over 2000 iterations and averaging the results over 50 experiments. The regressors are chosen as independent realizations of a Gaussian distribution with a covariance matrix R, whose eigenvalue spread is p = 5. The steady-state value of E P is estimated by averaging the last 200 values of Pi in each run i over all experiments. The curve plots the following relative measure of closeness between E P i and (1- A)R,':

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FIGURE 6.29 Inverting a grayscale image (left) using the Invert adjustment layer produces a negative version of the image (right).

n File Extension (Use Lower Case)/Use Lower Case (on): Called File Extension for Windows users (see the File Extension list) and Use Lower Case on the Mac (see checkbox beneath Append File Extension ), this option decides whether the three-character extension at the end of a file name is uppercase or lowercase. Lowercase is the better choice because it ensures compatibility with other platforms, particularly UNIX, the primary operating system for Web servers. (UNIX is case-sensitive, so a file called Image.psd is different than Image.PSD. Lowercase extensions eliminate confusion.) n Append File Extension (Ask When Saving): Available only on the Mac, this option adds a three-character extension to the end of a file name to make your Mac images compatible with Windows and DOS programs. For example, a layered composition saved in the Photoshop format gets a .psd extension. You may want to set this option to Ask When Saving; that way, you can decide whether to include a PC-style extension from inside the Save dialog box on a file-by-file basis.

112,

Problem 111.18 (Constant-modulus Criterion) Let u be a zero-mean row vector and w an unknown column vector that we wish to determine so as to minimize the cost function J ( w ) = E (y - I u w ~ ~ ) ~ , for a given constant number y.

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Summary