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Thus far in this chapter, we have considered the capacity of SISO and SIMO fading channels. In this nal section of the chapter, we extend the results to the case of multiple transmit antennas, in particular, the MIMO channel. In keeping with the spirit of 14, we make the following assumptions: (1) the transmitters have no knowledge of the channel but the receivers track (i.e., have perfect knowledge of) the channel, (2) the total transmit power is constrained and divided equally among the transmit antennas regardless of their number, and (3) the channel between each transmit antenna and each receive antenna is statistically modeled as quasistatic i.i.d. at wherein the fading is xed over a burst (frame) but can randomly change from burst to burst. Under these assumptions it has been shown [7] that for a MIMO system with Lt transmit antennas, Lr receiver antennas, and a channel gain matrix C = [cj i ], the conditional channel capacity (in bps/Hz) is given by C 1 Es = log2 det ILr Lr + C C B L t N0



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UDDI version 2 also enables third parties registering new categorization systems to control the categorization validation process. In such case, the third party would implement a Web service, in the same manner as UDDI does, that exposes a single XML API function named <validate_values>. Unchecked categorization system. Unchecked categorization systems are used for categorization without the need for a UDDI to perform validation of categorization code values. Businesses can choose to

FIGURE 26.4 When a form is run, the user selects from the available form pages in the Show section of the ribbon.

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The increase of resolution in the derivative spectra is accompanied by an increase in noise with each derivation. Furthermore, derivative spectra are influenced by the halfwidths of the bands. Broad bands in the original spectrum are poorly recognizable in the second and higher derivatives. Derivative spectra are therefore best suited to eliminate broad band background absorptions. The decrease in the signal-to-noise-ratio upon generating a derivative spectrum may be offset by smoothing the original spectra. The use of derivatives in quantitative analysis is discussed by Williams and Spragg ( 1982).

It is of the highest degree of necessity that the Auditor, before commencing the investigation . . . should thoroughly acquaint himself with the general system upon which the books have been kept. . . . Having thoroughly made himself the master of the system, the Auditor should look for its weakest points.1 [emphasis added]

The second path, starting with System, is for Apple s exclusive use. That leaves /Library/ Java/Extensions for developer and application to use. /Library/Java/Extensions has a huge benefit: If the user changes the preferred version of Java on the Mac, this optional classpath stays active. Dependent applications keep on working. (Thanks Apple!)

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The K Desktop Environment (KDE) was rst released in 1996 as an open source project to produce a graphical desktop similar to the Microsoft Windows environment. The KDE desktop incorporates all of the features you are probably familiar with if you are a Windows user. Figure 1-3 shows a sample KDE desktop running on Linux. The KDE desktop allows you to place both application and le icons on the desktop area. If you single-click an application icon, the Linux system starts the application. If you single-click on a le icon, the KDE desktop attempts to determine what application to start to handle the le. The bar at the bottom of the desktop is called the Panel. The Panel consists of four parts: The K menu: Similarly to the Windows Start menu, the K menu contains links to start installed applications. Program shortcuts: These are quick links to start applications directly from the Panel. The taskbar: The taskbar shows icons for applications currently running on the desktop. Applets: These are small applications that have an icon in the Panel that often can change depending on information from the application.

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