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These two formulas for the capacity and spectral ef ciency estimation are valid only for the channels with additive white Gaussian noise (AWGN-channels), which is also called additive noise (see de nitions in 1). In this case the power of the additive noise equals Nadd N0 Bw , which is simply de ned in the literature as the signal-to-noise ratio (SNR). Usually, AWGN channels are called the ideal

In this section I review the title tag, meta description, meta keywords URL, and keyword usage of each major section of the given website.

The easiest thing to build in most windowing systems is a dialog box. The dialog box facility offers automatic tools for specifying how and where controls will be placed. Unfortunately, it s quite easy for developers to create user interfaces composed mostly of control-laden dialog boxes. It s much more difficult to create a visual interface with direct manipulation idioms that are consistent with user mental models and workflows. As a result, most existing literature covers the canned-control world reasonably well, while ignoring other approaches. However, control-laden dialog

channels and all practical radio channels are compared to the ideal channel by selecting detection error probability of 10 6 and nding SNR necessary to achieve it. Effects of interference can be regarded as another source of effective noise, which raises the noise level for calculating the error rate. In this case, we must also introduce in (12.20) and (12.21) together with Nadd the noise caused by interference Nint S e 12:22 C log2 1 N0 Bw Nint

boxes are not the key to successful user-interface design. (For more about the strengths of a user interface based around direct manipulation, see 19. For more about dialogs boxes, see 24.)

Above, we discussed the channels in which only white or Gaussian noise was taken into account. What will happen if there is additional noise called multiplicative (see de nitions in 1), which usually occurs in the wireless communication channel, land, atmospheric, and ionospheric due to multipath fading phenomena In this case, on the basis of a uni ed algorithm of how to estimate fading effects, described in 11, we can account for all kinds of noise in the Shannon Hartley formula (12.20). To do that, we propose now a simple approach, which can be used only if LOS component is predominant with respect to the NLOS component, that is, when the Ricean parameter K > 1 [40]. Taking into account the fading phenomena, described by the Ricean distribution with parameter K > 1 (see s 1, 5, and 11), we can estimate the multiplicative noise by introducing its spectral density, Nmult , with its own frequency band, BO , into (12.20) or (12.21) ! S e log2 1 12:23 C N0 Bw Nmult BO This formula can be rewritten as ! S Nadd Nmul 1 e C log2 1 log2 1 S S Nadd Nmul 12:24

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where, according to our de nitions introduced in s 5 and 11 following hIco S the proposed stochastic approach, Nmult hIinci . Using now the de nition of K, i introduced in these chapters, we get S hIco i K Nmult hIinc i 12:25

To be clear, we re not suggesting the elimination of standard controls. However, while using these controls in your designs may guarantee ease of implementation, it absolutely won t guarantee ease of use. Controls must be used appropriately and judiciously, like all elements of a good user interface. We ll now look at each of the four types of controls imperative, selection, entry, and display in more detail.

Combining together all these notations, we nally get the capacity as a function of the Recean K-factor 1 ! Nadd K SNRadd 1 12:26 K Bw log2 1 C Bw log2 1 S K SNRadd where we denoted signal-to-additive-noise ratio as SNRadd NS . add

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