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Since T,, ( t ,W ) for aP 2 1 can be computedmuch more easily and more efficiently via a spectrogram, computing with the smoothed pseudo-Wigner distribution is interesting only for the case
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Figure 5-2: Libraries include a header area that s not seen in, and not available to, normal
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Then the discrete values of the short-time spectrum can be given by
Expand the tree to reveal the newly created zones for the server. Notice that when the zone you created is expanded, several subfolders are revealed as shown in Figure 10.15. These house the service location records that are so fundamental to client logons, LDAP queries, and other service locations. Drill down through these records and become familiar with them, as they provide core functionality for the directory. Notice that as in most MMC consoles, you have right mouse-click functionality to perform most tasks. Become familiar with the services offered through these menus, as you will use them often, particularly in larger implementations and situations where legacy NT systems coexist. Try this at the server level of the tree and at the zone level in order to distinguish between the two sets of options. Fortunately, most of the tedium that existed in configuring the previous version of DNS from Microsoft has been removed, and most processes are now automated. There may, however, come a time where changes to the server become necessary. Let s look at a few of these situations now.
This activity characterizes the problem space by defining the as-is systems and enterprise, their current deficiencies and potential im-
Model Parameters of the Lombardi Mobility Model
The Constant Modulus (CM) algorithm [275] operates on the principle that the amplitude of the receive antenna array output should remain constant, unless the interference causes fluctuations. If the transmitted signal, s(n),has a constant envelope,then the combiner output, y(n) in Figure 3.17, should also have a constant envelope. However, if multipath fading occurs, then the combiner output, y(n), will have a fluctuating envelope. The objective of CM beamforming[3,242,260] is to restore the array output to a constant envelope signal, on average. This can accomplished by adjusting the array weight vector, tu, in such away, so be as to minimise acertain cost function. In the classic paper by Godard [275], who used the CM property in order to carry out blind channel equalisation, the criterion was to minimise the functions D(,), referred to as the dispersion of order p (p > 0 integer), defined by (3.90) with R, being real positive constants givenby: (3.91) where a(n) is the transmitted data symbol. The standard function of [3,242,275] cost
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