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A decision feedback equalizer (DFE) has a simple underlying premise: once we have detected a bit correctly, we can use this knowledge in conjunction with knowledge of the channel impulse response to compute the ISI caused by this bit. In other words, we determine the effect this bit will have on subsequent samples of the receive signal. The ISI caused by each bit can then be subtracted from these later samples. The block diagram of a DFE is shown in Figure 16.7. The DFE consists of a forward lter with transfer function E(z), which is a conventional linear equalizer, as well as a feedback lter with transfer function D(z). As soon as the RX has decided on a received symbol, its impact on all future samples (postcursor ISI ) can be computed, and (via the feedback) subtracted from the received signal. A key point is the fact that the ISI is computed based on the signal after the hard decision; this eliminates additive noise from the feedback signal. Therefore, a DFE results in a smaller error probability than a linear equalizer. One possible source of problems is error propagation. If the RX decides incorrectly for one bit, then the computed postcursor ISI is also erroneous, so that later signal samples arriving at the decision device are even more af icted by ISI than the unequalized samples. This leads to a vicious cycle of wrong decisions and wrong subtraction of postcursors. Error propagation does not usually play a role when the BER is small. Note, however, that small error rates are often achieved via coding. It may therefore be necessary to decode the bits, re-encode them (such that the signal becomes a noise-free version of the received signal), and use



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If the above idea of layered trees is used, then maintaining the appropriate trees is likely to be very complicated, since a uctuating congestion level will make the higher bit rate more or less expensive as receivers join or leave If dynamic pricing is used then the cost of supporting the various quality layers over the links of the tree may change during the multicasting session The receivers should be noti ed of the ongoing cost of the service and be allowed to choose the number of layers (and hence the quality) that they wish to receive This may be a complex task for a receiver Even more dif cult is the problem of sharing the cost amongst the receivers.





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Figure 9-10: A graphical representation of a cross join is simply two tables without a join condition. In code, this type of join is specified by the keywords cross join and the lack of an on condition:

Table 5.2: Collection Types and Their Operators Type Operator and result type Operator Descripti on two collection s are identical. union(Collection)-Collection Combines two collection s. Returns a collection with element added. Returns a collection with element removed. Returns a collection with common elements. Iterates over collection and performs expressio n. Returns a subset of collection where all elements fulfill Expr. Returns a subset of collection where all elements do not fulfill Expr. Returns a collection with type Expr.

R,, = [ A - R,,RF:] R,, [AH- RF:Ra,]

11.2 Find the variance of the threshold voltage of a 10/0.5 transistor in a 7-nm gate oxide process.

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This could be addressed in the more general context in which prices are designed to offer incentives for resource usage that achieve maximum economic ef ciency for the group as a whole (see Section 115) 1132 Network Mechanisms Other mechanisms can be used to complement the simple service provided by IP multicast Most of these are extensions of mechanisms for unicast connections We have made a distinction between requirements for reliability (when distributing content that is not realtime) and for timing (when transmitting real-time content) The latter also usually has some requirement for a minimum average information rate over all links of the multicast tree In unicast, reliability is achieved at the transport layer using the TCP protocol, or at the application layer with various mechanisms (if UDP is used instead of TCP).

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