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Second, the two statements below are equivalent. The default variable is now explicit in the second one. Replacing =- by ! makes the expression inside the parentheses true only if there is no match. That is, ! - is the nonmatching regex operator. Again, try modifying program 2.1 in this way and run it.

CEO, CFO, CIO, COO: Charge-out:

Internal voltage (mV)

= 63k

Let s start with something that all objects have in common: resizing. You can resize any object on a slide, either by dragging a selection handle on its border or by using the Size group in the Format tab. In 4, you learned how to resize a text box; you can resize any object in this same way, simply by dragging a corner or side selection handle to change the object s size and shape. The mouse pointer changes to a double-headed arrow when you move it over a selection handle. As you resize the object, a faint shadow of the object appears to show its new size.

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M and it is based on regression data up to and including time i Specifically, &(i) = U M , ( ' W M , ~ , where uvlztis the M-th order regressor at time i and W M , %is the weight-vector solution at time a as well All lattice filters described in this part, as well as all other least-squares adaptive filters described in the previous chapters, operate in this sequential manner Namely, the signal estimates that are available at a particular time instant are based on the regression data up to that same time instant This fact is in contrast to a batch least-squares solution (cf 29), whereby all N 1 regression vectors and reference data are used to generate the signal Ytimates.

nologies. Many companies today claim to be doing component-based development when what they are really doing is distributed system development . or using some kind of distributed object technology . While this can, of course, deliver significant benefits, such as allowing the technical bridging of heterogeneous systems, the use of, for example, CORBA per se does not automatically imply component-based development, any more than using C++ guarantees objectoriented development . The essence of the distributed system approach is that the realities of distribution are taken into account, following appropriate principles . Each system is typically built as a monolith, wrapped perhaps with some interfacing code, so that from outside, it is impossible to see whether these systems (consisting of varying numbers of individual application units) are old wrapped legacy systems . And now the organization realizes that things within these separate isolated systems need to talk to each other. It is in resolving this problem-the point-to-point connectivity of otherwise isolated distributed systems-that much of the value of distributed object technology lies. The focus of development moves then to the interoperability of distributed systems and to the techniques and approaches required to address these systems . But the problem of how to decrease development costs still persists . It is slightly addressed by using object-oriented techniques but not enough to make a big difference . At this point, struggling to reap the desired benefits, often the organization realizes that something else is required; hence the current interest in component technologies and the adoption by some leading-edge organizations of the distributed component approach. This uses current build-time and run-time technologies such as Enterprise Java Beans to attempt to reduce cost and development time for distributed systems . It becomes apparent that what

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For instance, in a batch implementation, the estimate of d ( i ) would be computed as d ( i ) = U M , % ' W M , N ,where w t f , , ~ the weight estimate that is based on all data (ie, up to time N ) There have been several is investigations in the literature pertaining to the issue of how to approximate a batch solution from a collection of sequential solutions Such investigations have been conducted most notably in the coding and prediction theory literature, eg, by Rissanen (1984,1986), Ryabko (1984,1988), W x a (1988), and others In later works by Merhav and Feder (1993,1998), Singer and Feder (1999), and Singer, Kozat, and Feder (2002), the authors examined the relation between batch and sequential processing in the context of adaptive filtering.

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