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The statistical behavior of these decision variables is identical, and the same as the statistical behavior of the decision variable of the traditional MRC receiver derived in Section 8.3 and denoted by z(T ) in Eq. (8.3.1a). Consequently and not surprisingly, results of simulations for two transmitting and one receiving antennas provided in [Ala98] are identical to the results of the analysis of MRC in Section 8.3, shown in Fig 8.6c, for one transmitting and two receiving antennas. A simple MIMO scheme for two transmitting and two receiving antennas was also introduced in [Ala98], and the simulation results show that the performance is identical to that shown in Fig. 8.6c. Therefore, Alamouti has shown that with his simple block-coded STC for two transmitting and one and two receiving antennas, one can obtain the same diversity performance as achieved with optimum MRC with two and four receiving antennas. More elegant approaches that combine transmitting diversity with channel coding, similar to trelliscoded modulation (TCM), are also available in [Nag98, Tar98]. A good overview of STC and its applications is provided in [Dha02]. Initial STC research efforts were focused on narrowband communication over atfading channels. The next step of research in this eld is examination of STC techniques in multipath fading channels for broadband wireless communication. In a multiuser environment this involves complicated signal-processing algorithms for channel estimation, joint equalization and coding, and multiuser interference cancellation, and this has motivated a substantial amount of research work in recent years. 8.6 MIMO AND STC Multiple-input multiple output (MIMO) antenna systems have recently emerged as one of the most promising technologies for the next generation of wireless networks.

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is This means that although +&(m) an unbiased estimate of T,, ( m ) ,the quantity Q z z ( e j w ) is a biased estimate of S,,(ej"). The reason for this is the fact that only a finite number of taps of the autocorrelation sequence used in is the computation of Q s s ( e j w ) . The mean E { Q s s ( e j w ) } is a smoothed version of S,,(eJW), where smoothingis carried out with the Fourier transform of the rectangular window. As N + co both estimates :,(m) and &(m)become unbiased. The same holds for P,,(ejw) and Q,,(ej"), so that both estimates of the power spectral density are asymptotically unbiased. The behavior of the variance of the estimatesis different. While the estimatesof the autocorrelation sequences are consistent, those of the power spectral density are not. For example, for a Gaussian process ) . ( X with power spectral density S Z z ( e J W ) the variance , of the periodogram becomes

Clarity is one of the most important factors in writing copy, and the Fog Index gives you an insight into how important short sentences and simple words can be But don t be obsessed with achieving low Fog Index scores at the expense of common sense You need to vary the length of sentences and use threesyllable words when you need them and realize that every audience is different..

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The following sections outline the structure and function of Group Policy in Windows 2000. Group Policy uses the concept of templates to construct registry changes made at the client level.

FIGURE 11.43 Effects on throughput with 16-bit packets coded into length-31 or length-63 BCH code blocks. The modulation is BPSK, the channel SNR is 20 dB, and a bell-shaped distribution of terminals is assumed.

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I will now present a new approach to risk modeling: Probability Management. It is modular in that it is built up from Uncertainty Objects that can be combined to model combined uncertainties. This will not be an unbiased assessment because I have spent the past decade participating, with others, in its development. But the approach is still so new that it is not yet a zero-sum game among its purveyors. Thus, some potentially competitive organizations have found it mutually bene cial to establish industry standards to advance the cause of transparency in the communication of uncertainty and risk. This is a problem that must be solved if we are to improve the stability of our economy, as we have now witnessed the consequences of applying Steam Era statistics to Information Age risks. So how revolutionary is Probability Management History will tell. It is not based on fantastic breakthroughs like X-rays or atomic energy, although it has pushed the limits of current technology. The typical manager has never seen anything like it before, yet it does not have a steep learning curve. Most importantly, it evolved quickly and organically in the heat of strategic decision-making in large organizations. So from a technological and intellectual perspective, I would characterize Probability

To monitor the amount of free space on the server s disk drives, use the xp_fixeddrives procedure:

You can have more than one site map for your site, too. But if you do, you need to create a site-map index for crawlers to read to learn where your site maps are. The site-map index looks similar to the site map, but includes a few different directives. Those directives include:

. . . . . . . . .

Any of these factors may cause a view to be non-updatable:

(3.139) (3.140) (3.141)

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In dot notation, this would read jchang.marketing.mcity.us. An LDAP algorithm translates LDAP names to DNS format and vice versa. By complying with the LDAP naming convention, any LDAP client can query Active Directory via an LDAP Uniform Resource Locator (URL) as follows:

In most cases, the RX samples and processes signals at the symbol frequency (1/TS ). This is suboptimum if this sampling rate is lower than the Nyquist rate and the matched lter is matched

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