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5. If you chose Linear, Radial, or Rectangular, open the Direction drop-down list and choose a direction swatch. If you chose Linear, change the incremental value in the Angle text box as needed to adjust the angle. 6. Mark or clear the Rotate with Shape check box. 7. On the Gradient Stops slider, select the rst marker. (You can do them in any order; I usually start with the leftmost one and work to the right.) 8. Do the following to modify the stop: a. Open the Color drop-down list and select the color for that position. b. (Optional) Use the increment buttons to adjust the Position value, or drag the marker to a different position on the slider. c. (Optional) Use the increment buttons to adjust the Brightness setting, or drag its slider. d. (Optional) Use the increment buttons to adjust the Transparency setting, or drag its slider. Zero percent is no transparency, while 100 percent is complete transparency. 9. Select the next stop on the Gradient Stops slider bar, and repeat step 9. 10. (Optional) Add or remove stops: If you need to create more stops, click the Add (+) button and then repeat step 8 for each new stop. If you need to delete a stop, select it and then click the Remove ( ) button. 11. Click Close to close the dialog box.

The width and height attributes are important because browsers build Web pages faster when they know the size and shape of the included images. Dreamweaver reads these attributes when the image is first loaded. The width and height values are initially expressed in pixels and are automatically inserted as attributes in the HTML code. Browsers can dynamically resize an image if its height and width on the page are different from the original image s dimensions. For example, you can load your primary logo on the home page and then use a smaller version of it on subsequent pages by inserting the same image with reduced height and width values. Because you re only loading the image once and the browser is resizing it, download time for your Web page can be significantly reduced.

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Signal Process, vol 46, pp 21 13-2121 S ROYA N D J J SHYNK (1989), Analysis of the data-reusing LMS algorithm, Pmc Midwesr Symp Circuits Syst, Urbana, IL, pp 1127-1130 31 RUPP(1993), The behavior of LMS and NLMS algorithms in the presence of spherically invariant processes, IEEE Trans Signal Process, vol 41, no 3, pp 1149-1160 hl RUPP(1995), Bursting in the LMS algorithm, IEEE Trans Signal Process, vol 43, no 10, pp 24142417 hl RUPP(1998a) A family of adaptive filter algorithms with decorrelating properties, IEEE Trans Signal Process, vol 46, no 3, pp 771-775 54 RUPP(1998b), LMS tracking behavior under periodically changing systems, Proc European Signal Processing Conference, Island of Modes, Greece hl RUPP AND A H SAVED (1996a), A time-domain feedback analysis of filtered-error adaptive gradient algorithms, IEEE Trans Signal Process, vol 44, no 6, pp 1428-1439 M RUPP A N D A.

The data in an HTML table looks like the table shown in Figure 16-3, with the header cells (Type, Address, City, and so on) acting as data column names. The data records themselves are located in the subsequent rows.

of the number of renewals in an interval Ait: Pr{N(t)

We don t really care about the other working spaces (CMYK, Gray, and Spot) right now, so leave them as they are. I encourage people to configure the Color Settings dialog box by selecting North American Prepress 2 because this setting checks all the boxes under Profile Mismatches and Missing Profiles. When these boxes are checked and Photoshop finds a discrepancy between the color space you re using and the color space of a file you re opening, it refers to the Color Management Policies boxes to resolve the profile mismatch, as shown in Figure 2.7.

H SAYED (1996b) Robustness of Gauss-Newton recursive methods: A deterministic feedback analysis, Signal Processing, vol 50, no 3, pp 165-188 M RUPP AND A H SAYED (1997) Supervised learning of Perceptron and output feedback dynamic networks: A feedback analysis via the small gain theorem, IEEE Trans Neural Nefworks, vol 8, no 3, pp 612622 XI RUPPAND A H SAYED (1998), Robust FxLMS algorithms with improved convergence performance, IEEE Trans Speech Audio Process, vol 6, no 1, pp 78-85 51 RLPP A N D A H SAYED (2000), Onthe convergence of blind adaptive equalizers for constant-modulus signals, IEEE Trans Commun, vol 48, no 5 , pp 795-803 B Y RYABKO (1984), Twice-universal coding, Probl Inform Transm, vol 20, pp 173-177 B Y RYABKO (1988), Prediction of random sequences and universal coding, Probl Inform Transm, VOI 24, pp 87-96 J SALZ(1973), Optimum mean-square decision feedback equalization, Bell Syst.

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