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where K = 1, 2, . . . , M 1. Assume every secondary user has the same probability of false alarm (Pf ) and probability of missed detection (Pm ). Give the expressions for the nal probability of false alarm (Pf,network ) and probability of missed detection (Pm,network ). 7. The energy detection is a commonly used method in spectrum sensing. During each sensing period, 2N sample number is obtained. rn is the received sampling value, n = 1, 2, . . . , 2N. The decision statistics is
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MODIFIED GAUSSIANS In these equations, Sj k represents the spectrometer resolution and j k is the broadening of the exponential tail. The parameters fjSk and fjTk describe the fraction of the photons that end up in the shelf and the tail respectively. In some studies, the exponential function is slightly different from the one presented here. Those authors use j k instead of the term j k Sj k . Here, j k is de ned as a multiple, j k , of Sj k . In this way, the parameter j k becomes independent of the resolution of the detector. However, both j k and j k Sj k may be used to describe the slope of the exponential tail. Figure 6.2.2 represents the tted spectrum of V (already shown in Figure 6.2.1) and demonstrates that a tting model based on a modi ed Gaussian describes the data well. A 2 value of 7.1 was obtained which is very good taking into account that the intensity at the maximum of V K is nearly 106 counts. A discrepancy clearly seen at the high-energy side of the V K peak is due to the Lorentzian character of the peaks.
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Active Directory is based on Jet database technology and therefore is somewhat hardware intensive. Just as in Exchange Server, planning domain controller hardware needed to support larger Active Directory implementations of the database is critical to the overall success of deploying a fast and functional Windows 2000 network. Hardware I/O, CPU,
As important as it is to know what you can do, it is equally important to know what you cannot do. The following is a list of items that are not configurable. Although this list is not complete, it contains many of the more relevant items that cannot be configured: n Library feature configs n Blocks n Extrude direction or From Offset dimension or direction n Most of the values in features such as Deform, Freeform, and Flex While Library Features can be configured, once you drop them into a part and click the OK button, the configurations are no longer accessible (unless you have selected Link To Library Part), so a part s configurations cannot select the configuration of a Library feature. A part s configurations can, however, change the dimensions of a library feature.
and minimize with respect to al , . . . , ap . Show that the coef cients that minimize are a = R l r, where R is a Toeplitz matrix with the rst row being (Rm (0), Rm (1), . . . , Rm (p 1)), and r = (Rm (1), Rm (2), . . . , Rm (p))T , i.e., our ad hoc scheme of replacing the stochastic correlations with the short-time dito makes sense. For simplicity you can set m = 0. Note that we know all the samples in the frame xm (n) and prediction is perhaps a misleading name. A more appropriate term is least square tting. The name used in the literature is the autocorrelation method. 13. Consider a stochastic MA signal x(n) = u(n) + 0.5u(n 1)
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