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detector produces a value that belongs to a continuous alphabet (i.e., a real number), but the same is also true, with little loss in performance advantage, even when the decision is performed by producing a discrete quantized value of the continuous alphabet. In general terms, the BER performance of a soft-decision decoder will be better than that of a hard-decision decoder, for the same code, but this advantage is obtained in a trade-off with decoding complexity. At rst sight, soft decision can be applied without restrictions to the decoding of both block and convolutional codes. However, and particularly in the case of long block codes, the calculations involved are of such a complexity that optimal soft decision of these block codes is dif cult to implement in practice. But it is possible to represent block codes, as well as convolutional codes, by means of a trellis [31]. In addition, the VA is easily modi ed to make use of softdecision detection, so that optimal soft-decision trellis decoding is feasible for block codes using the VA, with a consequent reduction in complexity. Powerful convolutional codes can also be of considerable size, and therefore complex to decode. Again, however, the use of the soft-decision VA will considerably reduce the complexity of optimal decoding of a powerful convolutional code.

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As presented in the previous section, ne control of packet transmission time depends on the MAC implementation In practice, local synchronization is acceptable by adding a reasonable margin However, the global synchronization through multihop links is a dif cult problem since clock errors are aggregated over the multiple hops..

Often, you won t want to actually select the cells. Rather, you ll want to work with them in some way (for example, format them). The cell-selecting procedures can easily be adapted. The following procedure was adapted from SelectCurrentRegion. This procedure doesn t select cells; it creates a Range object and then applies formatting to the range. The other procedures in the example workbook can also be adapted in this manner.

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THREE BUILDING BLOCK DESIGNS Completely Randomized Design One of the simplest experimental designs is the randomization and analysis plan that is used with a t statistic for independent samples. Consider an experiment to compare the effectiveness of two diets for obese teenagers. The independent variable is the two kinds of diets; the dependent variable is the amount of weight loss two months after going on a diet. For notational convenience, the two diets are called treatment A. The levels of treatment A corresponding to the speci c diets are denoted

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6 Rules fail because you cannot write a rule to contain every possible behavior in the vast spectrum of human conduct There will always be gray areas, and therefore, given the right circumstances, opportunities, or outside pressures, some people might be motivated to circumvent them When they do, our typical response is to just make more Rules, then, become part of the problem Rules react and correlate to vulnerabilities and in rmities Companies don t have rules to tell employees that they must remember at all times to breathe; the company suffers no vulnerability to breathing; people just naturally do it Companies do have rules that tell people when to come to work, because absent those rules, people would come to work whenever they felt like it and it would be harder to get things done.

P (x). (11.109)

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The accuracy table, which includes the type of positioning, the achievable accuracy, and the TTFF (time to rst x) to allow GNSS-based comparisons; The coverage table, which shows the availability and the coverage areas of the techniques considered; The complexity table, which shows indicators of cost for terminal and infrastructure complexities in order to evaluate the overall cost of any solution.

Rules achieve good oors, minimum standards of behavior, and they prevent bad things from happening if people follow them But people transgress, so we write rules to prevent further transgression, yet because rules are inherently limited, people nd a way to transgress again People who feel overregulated in turn feel distrusted They lose fealty to the rules (and those who make them) and search for ways to avoid their yoke, like Steve Adams did This creates a downward spiral of rule making which causes lasting detriment to the trust we need to sustain society With each successive failure of rules, our faith in the very ability of rules to govern human conduct decreases Rules, the principal arm of the way we govern ourselves, lose.

The extended and modi ed state diagram is a useful tool for the analysis of convolutional codes. The exponent of the variable X i is again used to indicate the weight of the corresponding branch, the exponent of the variable Y j is used to determine the length of the branch j and variable Z is present only in the description of a given branch when this branch has been generated by an input 1 . The modi ed generating function T (X, Y, Z ) is then de ned as T (X, Y, Z ) =

The latency of a behavior refers to the time lag between the application of a stimulus and the observation of the response. It is often dif cult to measure the latency of a complex behavior because of problems in identifying the stimulus involved or in determining its precise time of application. In the case of re ex behaviors it is usually the case that the stronger the stimulus, the shorter the latency.

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