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Further work onthe LMS algorithm, by Frost [240] and Griffiths [241J, introduced constraints to ensure that the desired signals were not filtered out along with the unwanted signals The optimisation process takes place as before, but the antenna gain is maintained constant in the desired direction For stationary signals, both algorithms converge to the optimum Wiener solution [3,240,242] A different technique was proposed in 1969 by Capon [243] using a Minimum-Variance Distortionless Response (MVDR) or the Maximum Likelihood Method (MLM)In 1974, Reed et d demonstrated the power of the Sample-Matrix Inversion (SMI) technique, which determines the adaptive antennaarray weights directly [244] Unlikethe algorithms of Applebaum [238]and Widrow [239], which may suffer from slow convergence if the eigenvalue spread the received sample of correlation matrix is relatively large, the performance of the SMI technique is virtually independent of the eigenvalue spread.

In recent years the tight frequency reuse of cellular systems has stimulated renewed research interests in the field [3,6,242,245] In this book we will attempt to review the recent literature and highlight the most important research issues for UMTS, HiperLAN and WATM applications, while providing some performance results We commence in Section 32 by 123.

(10.1)

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demonstrated with the dice and lm portfolio. The effect is shown in Figure 17.3, in which the x axis has been scaled to show the perspective from both the CEO s and the VP s positions. If each of the two VPs is 90 percent sure of not blowing a budget of $1.13 million, then the CEO will be 97 percent sure of not blowing a budget of $2.26 million. What happens when there are ten divisions The total budget is now 10 times $1.13 million, or $11.3 million. And the increased diversi cation across ten divisions assures that the CEO is now 99.998 percent sure of not blowing the total budget, as shown in Figure 17.4.

Table 35-5: Templates Used in the DataList Control Template Description is in the ItemTemplate or the AlternatingItemTempla te. You can change the background color or even show additional information. The template that is displayed when the user is editing one of the rows of data. HeaderTemplate If this template is provided, it is the first row before the ItemTemplate is rendered. You can display column headings and introductions with this template. FooterTemplate Similar to the HeaderTemplate, although this is the last row after all the data is displayed. SeparatorTemplate This template is rendered between each ItemTemplate or AlternatingItemTempla te. It is useful to provide some sort of visual separation of rows of data. In one of its simpler forms, the SeparatorTemplate can contain just an <hr> tag. The next example uses the DataList control to show you what it is capable of doing. In this example, you create a table based upon your own style. First, however, you need to create a Microsoft Access table. You can basically create any kind of table in Access that you want. For this example, a table was created (Customers) that is comprised of just three fields (see Figure 35-17). The first field is the CustomerID field, which is where you can keep track of the customer number. No two numbers are the same, and this keeps customers unique, even if they have the same name. The next field is the CustomerName field, which is pretty self-explanatory. The last field is the NumPurchases field, which is where you can keep track of the number of purchases this particular customer has made from the imaginary online store. The content of this field is just a number. EditItemTemplate

(12.79)

equivalent to adding their dB values, the dB values of the above three examples are the following (from Fig. 2.11):

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