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which is a gamma density with mean 2/ 1 . The key step is in recognizing that each term in (3.3) contains the MGF of an exponential distribution. MGFs of distributions not given here can be found in handbooks of distributions such as Johnson et al. (1994). In more complicated problems, particularly those without exponentials, we cannot simply look up corresponding distributions on a table, and we must convert MT (s) numerically to get the density fT (t) in (3.6). Example 3.2: Engineering Application: Hydraulic Pump Series System. Consider the hydraulic pump series system of Example 2.2. Suppose that each pump fails according to an Exp( ) distribution. Then the waiting time distribution for 0 1 is the minimum of two exponential random variables, which is Exp(2 ), computed as in (2.5). The waiting time distribution from 1 to 2 is just Exp( ). Then the MGF, MT (s), of the total waiting time, T , can be computed using partial fraction expansion to convert the MGF to a density, fT (t), as follows: MT (s) = M01 (s)M12 (s) 2 = 2 s s 2 2 . = s 2 s (3.9) (3.10) (3.11)

From Backstage view, you can select le operations such as saving and printing, customizing the interface, and sharing your work with others. Figure 1-6 shows Backstage view. To leave Backstage view, click any other tab.

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(c) Assume the data { s ( i ) } constant-modulus, Is(i)l = 1, and choose y = 1. What would are the resulting MSE be (d) Show that, when the denominator below is nonzero, an optimal choice for the step-size that minimizes the MSE is given by

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8513 The Sea Empress oil spill The grounding of the Sea Empress in February 1996 caused one of the largest and most environmentally damaging oil spills in European history (SEEEC, 1998a) The Sea Empress released approximately 72 000 tonnes of crude oil and approximately 360 tonnes of heavy fuel oil between 15 and 21 February 1996 when it grounded off Milford Haven in south-west Wales Further oil leaked out as the tanker was moved out of Milford Haven on the way to Belfast, Northern Ireland The Sea Empress spill is the third largest tanker spill in UK waters, and may have been the most destructive The rich and productive waters off the coast of south-west Wales support thriving populations of ecologically and economically important shell sh and sh Rocky shores are colonised by the edible periwinkle Littorina littorea and the edible blue mussel Mytilus edulis.

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and (8.14) gives a straight line decision boundary as shown in Figure 8.3, which divides the observation space into two regions corresponding to II, = +l and 1 = -1. In general, the linear , equalizer can only implement a hyperplane decision boundary, which two-dimensional in our example was constituted by a line. This is clearly a non-optimum classification strategy, as our forthcoming geometric visualization will highlight. example, we can see in Figure 8.3 For ] associated with the II, = +l decision is closer to the dethat the point V = [ 0.5 -0.5 cision boundary than the point V = [ -1.5 -0.5 ] associated with the II, = -1 decision. Therefore, in the presence noise, there is a higher probabilityof the channel output centred of ] tobewronglydetectedas I k = -1, thanthat of thechannel at point V = [ 0.5 -0.5 output centred around V = [ - 1.5 -0.5 ] being incorrectly detected as I , = +l. Gibson et ul. [237] have shown examples of linearly non-separable channels, when the decision delay is zero and the channel is of non-minimum phase nature. The linear separability of the m channel depends on the equalizer order, , on the delayr and in situations where the channel characteristics are time varying, it may not be possible to specify values of m and r , which will guarantee linear separability.

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