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is called the peak frequency deviation. There are several ways to get a feel for this signal. The rst is to set g(t) equal a modulating sinusoid cos 2pfmt and plot the time domain signal, as we did with AM. The peak frequency deviation is now Df mFM/2p Hz. Figure 4.10 is the plot when fm 500 Hz, mFM 4p500 and the center frequency is f0 5000 Hz.6 The energy in this FM wave is the same as that in the AM-DSB and AM-SSB waves in Figure 4.7. The FM effect is subtle but clear: There are ve rises and falls in the carrier frequency. A second, more informative, way is to plot the spectrum of such a signal. The result is surprising and is shown in Figure 4.11. An important parameter in the plot is 4 the ratio b Df/fm, called the FM modulation index. It normalizes the frequency deviation to the frequency that causes it. In Figure 4.10, b 2. The signal s(t) in Eq. (4.21) now works out to be A cos 2pf0 t b sin 2pfm t A cos 2pf0 t 2 sin 2pfm t After some serious calculation, the Fourier transform works out to be S f A

We can nest one XSD group within another to create fairly complex structures. As an example, let s suppose that we wished for some reason to group the declarations for the <State> and <ZipCode> elements so that we could create a StateZipCodeGroup group, which is referenced from within the definition of the AddressGroup group. The code is shown in Listing 7.6. In our simple example, this action provides no direct productivity gain, but by creating groups that we use as reusable components of a schema, we can with more extensive schemas build up a library of code contained in <xsd:group> elements that has already been tested. With those advantages of reuse in mind, it is important, in a production setting, to document the purpose and characteristics of each group by adding <xsd:annotation> and

Of course there's a balance to be made here it might be that the XML is used in lots of different ways, such that in the long run it's worthwhile retrieving a lot of information from the database in one fell swoop rather than having multiple transactions with it If the data held in your XML isn't held within a database or you can't make the database give you only the information you need, you could use a SAX filter instead SAX is the Simple API for XML, an event based API that's used by the vast majority of XML parsers, especially those written in Java A SAX filter catches the events generated by a SAX XMLReader when it parses an XML document The XMLReader is known as the SAX filter's parent The SAX filter generates its own events based on the ones that it catches.

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Summary

As far as the parent is concerned, it looks like an application; as far as the application is concerned, it looks like a parser The Java version of SAX2 holds an interface orgxmlsaxXMLFilter and a new helper class orgxmlsaxXMLFilterImpl that you can use to create these filters If you use orgxmlsaxXMLFilterImpl as a basis, all you need to do is add methods for the events that you're interested in, calling the superclass's method with altered arguments or using an empty method to completely filter out the event Have a look at 90.

The first few times you play head s up can be the most nervewracking times of your poker career. If not for the low-limit nature of most of the play, the tension would be completely unnerving. Fortunately, having less at stake takes off some of the pressure. Because you face just one other person, you may find it hard not to take losing personally. But you shouldn t. In fact, the first Zen-like

Throughout this chapter you have learned several topics that should help you to develop a strategy for organizing, simplifying, and protecting your digital life This strategy will be the basis of the digital spring-cleaning process that is covered in 8 You learned that you should protect your data in a way that is proportional to its value and in a way that considered how difficult it would be to reproduce You revisited the idea that computers are fallible machines, and that important data really should be protected Next, this chapter discussed the idea that complicated organization schemes are recipes for failure and disorganization, and you learned that it is best to keep your categorization of data simple and easy to follow Next you learned some ways that you can categorize your data, and ways that you can further organize these files.