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I n Part I11 (Stochastic-Gradient Algorithms) and its problems, we developed stochastic gradient approximations for several steepest-descent methods. The approximations were obtained by replacing exact covariance and cross-correlation quantities by instantaneous estimates. The resulting algorithms operate on actual data realizations and they lead to adaptive filter implementations. However, stochastic approximations introduce gradient noise and, consequently, the performance of adaptive filters will degrade in comparison with the performance of the original steepest-descent methods. The purpose of this chapter, and of the subsequent chapters in this part (Mean-Square Pe$ormance) and in Part V (Transient Peformance), is to describe a unifying framework for the evaluation of the performance of adaptive filters. This objective is rather challenging, especially since adaptive filters are, by design, time-variant, stochastic, and nonlinear systems. Their update recursions not only depend on the reference and regression data in a nonlinear and time-variant manner, but the data they employ are also stochastic in nature. For this reason, the study of the performance of adaptive algorithms is a formidable task, so much so that exact performance analyses are rare and limited to special cases. It is customary to introduce simplifying assumptions in order to make the performance analyses more tractable. Fortunately, most assumptions tend to lead to reasonable agreements between theory and practice. The framework developed in this chapter, and pursued further in the following chapters, relies on energy conservation arguments. While the performance of different adaptive filters tends to be studied separately in the literature, the framework adopted in our presentation applies uniformly across different classes of filters. In particular, the same framework is used for steady-state analysis, tracking analysis, and transient analysis. In other words, energy-based arguments stand out as a common theme that runs throughout our treatment of the performance of adaptive filters.

The golden copy of all deliverables that are not source code and not modified through the IDE, such as documents and specifications, will be stored either in the SCM system or directly in the file system The latter is often preferred because the various versions of these deliverables are often managed using the capabilities of the tools-for example, a word processor-used to produce them Which level of version granularity will be known to the various tools Even assuming that each developer-modified source code file is versioned using the SCM system, it may be convenient to consider various levels of version granularity, corresponding to the levels of component granularity For example, for SCM systems having the concept of "project," it is often useful to check in and check out at the same time all files that will be modified in the same modification session .

Photoshop also lets you define custom Web Photo Gallery page styles. Using an HTML editor, you can create a batch of HTML files that contain the instructions for formatting the various elements of the page. To get an idea of how to build a custom style, take a look at the HTML files provided for the Photoshop default styles, found in the Presets\Web Photo Gallery folder. After creating your custom pages, store them together in a new styles folder in the Web Photo Gallery folder.

A version granularity that has proven very convenient as a good compromise in size and management overhead is the DC version granularity Often, for example, when correcting a bug, multiple source files belonging to the same DC are modified in rapid succession It is very convenient to create in the SCM system (assuming it supports this) a project that corresponds to a DC and check out and check in all files of the DC at the same time The answer to the second question also addresses the business component in that its four tiers normally evolve at different speeds, and the dependency lists of the different tiers usually differ from each other Thus from the point of view of tool integration it makes sense to version at the distributed component level as well.

Indeed, we apply the following rule: The DC version is the lowest level of version granularity that is of concern from the tool integration perspective Whether an individual DC development decides to use the SCM system to further manage versioning at the file level is transparent to the overall project Of course, this does not mean that finer-grained artifacts should not be ver-.

9. To continue adding filter conditions, click the Add (+) button and repeat Step 8. 10. To remove a filter condition, click the Remove ( ) button. 11. If you are replacing text, enter the new text in the Replace With text field. 12. Select any options you want: Match Case, Ignore Whitespace Differences, or Use Regular Expressions. 13. Choose your Find/Replace option: Find Next, Find All, Replace, or Replace All.

The Align and Distribute options in the Path Selection tool s options bar let you accurately rearrange the shapes in a shape layer. Align top edges, Align vertical centers, and Align bottom edges Distribute top edges; Distribute vertical centers, and Distribute bottom edges