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, Radlo, S J, Barba, D A, et al (1998) New frontiers in visual search: An exploratory study in live tennis situations Research Quarterly for Exercise and Sport, 69, 290 296 Smeeton, N J, Huys, R, Williams, A M, & Hodges, N J (2005, August) Using principal component analysis to identify potential anticipation cues in tennis Paper presented at the ISSP 11th World Congress of Sport Psychology, Sydney, Australia Smeeton, N J, Ward, P, & Williams, A M (2004) Transfer of perceptual skill in sport Journal of Sports Sciences, 19(2), 3 9 Smeeton, N J, Williams, A M, Hodges, N J, & Ward, P (2005) The relative effectiveness of explicit instruction, guided-discovery and discovery learning techniques in enhancing perceptual skill in sport Journal of Experimental Psychology: Applied, 11(2), 98 110 Starkes, J L (1987).

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When comparing operating results, and in particular when analyzing trend figures, the reader must be aware of the effect that changing dollar values have on the results. One hundred pounds of vegetables a few years ago weighed exactly the same as 100 pounds of vegetables today, but the purchase cost was much lower. Prices change over time. In the same way that prices change for us, so, too, do the prices we must charge to customers for rooms, food, beverages, and other services. When comparing income and expense items over a fairly long period, it is necessary to consider the implications of upwardly changing prices or costs (inflation), or the reverse (deflation). Consider a restaurant with the following sales revenue in two successive years:

Under the hypothesis that the new call request (for link i) selects slot k for service, let pk and rk denote the transmission power and rate of link i at i i slot k, respectively.1 The power pk should be constrained by the MSIs of i existing active links at slot k [16], that is, ( pk min Pmax ; min1 i

CLASSIFICATION OF META-ANALYSIS METHODS Meta-analysis methods can be divided into three categories: (a) methods that are purely descriptive (and do not address sampling error); (b) methods that address sampling error but not other artifacts; and (c) methods that address both sampling error and other artifacts that distort ndings in individual studies. Figure 21.1 illustrates this classi cation system and references publications that explicate each type of method.

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Skill in field hockey: The nature of the cognitive advantage Journal of Sport Psychology, 9, 146 160..

Impulse response analysis can be applied to the convolutional encoder, as seen in Figure 6.3, assuming that the FSSM starts in the all-zero state (00). Any state of the FSSM is described by the state vectors S1 = (s01 , s11 , s21 , . . .) and S2 = (s02 , s12 , s22 , . . .). For a given input sequence, the evolution of the FSSM can be easily observed by means of a table that describes all the parameters of that FSSM. Table 6.1 shows the evolution of the FSSM of Figure 6.3, for the unit impulse input. The value K + 1 (3 for this example) is called the constraint length of the convolutional code Cconv . It is measured in time units, and is the maximum number of time units that a given bit of the input sequence can in uence the output sequence values. If the input is the unit impulse, then c(1) = g (1) and c(2) = g (2) . For this example, g (1) = (101) g (2) = (111) These vectors describe the impulse responses of the FSSM and they are also a description of the connections of the structure of the FSSM, so that when a given memory unit is connected to an output, the corresponding bit in the impulse response vector is 1 , whereas for an absent connection this bit is 0 . The impulse responses are also known as the generator sequences of the convolutional code Cconv . From this point of view, it is possible to express the encoded sequences as c(1) = u g (1) c(2) = u g (2) (2)

* different algorithms. * * Code Designed and Written by Eric Cole and Jim Conley ************************************************* */ #include <time.h> #include stegoGlobal.h #define BIGBUF 1024

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