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The interleaver can be a random or block interleaver. There are of course other types of interleavers, but these two are the most common ones. In the case of Example 7.3, a block interleaver of size N N = 4 4 is used. Input bit sequences consist of 16 message bits, and two of these 16 bits are determined so that the code sequence of the rst encoder is terminated. A terminated code sequence in this example is one where the sequence starts at the all-zero state (00), and ends in the same state. Generally, the termination of the sequence can be ensured for the rst encoder, but not necessarily for the second encoder, since the interleaving procedure randomizes the input to this second encoder. The puncturing rule is such that the parity check bits at odd positions of the rst encoder and the parity check bits at even positions of the second encoder are those bits that are being alternately transmitted together with the corresponding message or systematic bits. This way there are 14 message bits, and two additional bits that are utilized to terminate the code sequence generated by the rst encoder. The interleaved sequence is obtained, in a block interleaver, by writing the input bits in row format, and reading them in column format. Thus, for instance, permutation of the block interleaver of Table 7.5 is the following: I {.} = 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 1 5 9 13 2 6 10 14 3 7 11 15 4 8 12 16



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There are two different types of data aggregation: data fusion or aggregation with size reduction; aggregation without size reduction The rst form of aggregation can be used, for example, in sensor networks intended for temperature monitoring when we are only interested in the averaged regional value of the temperature In this case, an intermediate node that receives two values of temperature can calculate the average and forward it to the sink The resulting data eld has the same length as the incoming packets Aggregation without size reduction, on the other hand, occurs when two packets received from different sources are merged in a single packet with a longer data eld In both cases, the MAC layer leverages data aggregation since the overall transmission overhead can be reduced.





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Many terms gIVen I1l the following arc defined differently in some of the matril' lzterature. The preci8e meaning of a given term in other literature should be checked carefully in each individual case.

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Furthermore, since the MAC layer is invoked any time a packet has to be transmitted over the radio channel, the contention overhead is reduced when a node contends only once to transmit a longer packet with respect to multiple contentions for shorter packets In general, it is possible to examine three schemes of data aggregation: Center at nearest sources: all sources send their data directly to the source which is nearest the sink This source then sends the aggregated information to the sink Shortest path tree: each source sends its information to the sink along the shortest path If there are overlapping paths, they are combined to form aggregation tree Greedy incremental tree: this is a sequential scheme At the rst step, the aggregation tree consists of only the shortest path between the sink and the nearest source..

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CONCLUSIONS, FUTURE DIRECTIONS, AND ADDITIONAL RESOURCES This purpose of this chapter has been to introduce and demonstrate the various methods of analysis associated with circumplex models. For the most part, we have covered the standard ways in which researchers have tested and applied the model in pursuing their research goals. Before closing, however, we would like to brie y suggest two directions for future development of the circumplex model and its methods.

Factors considered within the macro-environment affect not only the company, but all the other members of its micro-environment, namely

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E3.8 Sales revenue for a restaurant operation is given for the months of March, April, and May of Year 0004. The index numbers are stated for each month. Convert March, April, and May to current dollars. Round answers to the nearest dollar. Year 0004 March April March Sales Revenue $38,000 $40,000 $44,000 Index Number 110 112 115

is close to 1 whenever the variance of Av is small. Conversely, this expression is close to 0 whenever the variance of Av is large. This demonstrates that risk mitigation by market instruments is most effective whenever the availability has little variance.

Although the purpose of this variable is not immediately obvious, it will become apparent later when you configure software specific to your Linux kernel version. The preceding variable is populated with a string that identifies the revision level of your running kernel, which you will then utilize to identify the appropriate packages for your needs.

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