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Retouching calls for a human touch, and that s where you come in The main trick in all this is to Alt-click (Option-click on the Mac) with the Clone Stamp or Healing Brush tools in an area that looks like it d do a good job of covering up a blemish and then click or drag over the blemishes For tiny spots where you aren t sure where to grab the cover-up material, use the Spot Healing Brush tool just restrict its use to where there are clean pixels all around the spot because that s where Photoshop will derive its content to cover the blemish you click on.

The CD track is now an animated object on your slide. By animated, I mean that it is an object that has some action associated with it.

Rather than take you back through a boring description of every click and drag we used to fix this image, here are some tips for ways to restore even the most damaged, faded, beat-up photo: n Toss the bad channels: Most images in this kind of condition are in black and white Scan them in color, and then look at the individual color channels, as shown in Figure 721, to see which grayscale version of the image looks best n View actual pixels: When possible, work at 100 percent view size or larger It s difficult to judge scratches and other defects accurately at smaller zoom ratios, but if you must, stick with the smooth views 50 percent and 25 percent..

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The Selection Preview option applies to rollover highlighting and the transparent selection rectangle. You can specify whether you want these effects to appear only if a command is active or even when no command is active (when you are selecting objects before choosing a command). Click the Visual Effect Settings button to open the Visual Effect Settings dialog box, where you can specify the following settings: n Rollover highlighting. In the Selection Preview Effect section, you can choose the thicken effect, the dash effect, or both. The default is to show both. Click the Advanced Options button to exclude certain types of objects from the rollover highlighting effect. Some people find this effect distracting, but by customizing these settings, you may find a solution that works for you (other than turning it off). n Selection effect. In the Area Selection Effect section, you can turn the effect off, change the colors for the window, crossing rectangles, and polygons, and change the opacity percentage.

where e ( i ) = d ( i ) - uzwz-l and ~ ( i= d ( i ) - uZwi.Let Z = wo - wz. Then it also holds that ) i e ( i ) = e a ( i ) w ( i ) and ~ ( i )e p ( i ) v ( i ) . =

Windows supports many printers. To add a printer supported by Windows, choose Start Settings Printers (and Faxes) (or Start Printers and Faxes) and double-click Add Printer. A printer added in this way is called a Windows system printer. The Windows system printer drivers are great for small desktop printers because that s their intended use, but they aren t optimized for pen plotters or large-format plotters. For this purpose, AutoCAD and AutoCAD LT come with non-system drivers. These drivers are specially designed for CAD and usually provide you with more options than if you choose the default Windows system printer settings. You cannot use them with other Windows applications.

In this chapter, fundamental signal processing and information theoretic approaches are presented together with learning algorithms for the problem of adaptive blind source separation (BSS) and Independent Component Analysis (ICA). We discuss recent developments of adaptive learning algorithms based on the natural gradient approach in the general linear, orthogonal and Stiefel manifolds. Mutual information, Kullback-Leibler divergence, and several promising schemes are discussed and reviewed in this chapter, especially for signals with various unknown distributions and unknown number of sources. Emphasis is given to an information-theoretical and information-geometrical unifying approach, adaptive ltering models and associated on-line adaptive nonlinear learning algorithms. We discuss the optimal choice of nonlinear activation functions for various distributions, e.g., Gaussian, Laplacian, impulsive and uniformly-distributed signals based on a generalizedGaussian-distributed model. Furthermore, family of e cient and exible algorithms that exploit nonstationarity of signals are also derived.

(10.19)

where p is the dimension of o. The covariance matrix Rz denotes the rn.m.s.e. of the estimation problem, Ri.= Rx - KOR,,. for any W

Figure 1-21

representing all the business components in the system . This model, apart from its relative importance in describing the context, on one hand, and the dependencies, on the other, is not particularly important when discussing an individual business component .

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