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Before concluding this simulation section, we connect the simulation results to the analytical results presented in Section 2.4.3. From equation (2.16), we see that variance of the time estimate in terms of c1 should be the jitter variance s2 multiplied by a function of m and ai . Since the ASD approximates this synchronization error averaged over all nodes, we would expect the simulation results to closely approximate the analytical value. Using m 10, ai 1, and using the simulation value s2 Var(Ci ) 0:01, equation (2.16) gives us a value of about 0.01467. From the right panel of Figure 2.4 we see that the ASD for m 10 is consistently less than 0.02. Thus, even for a nite number of nodes, the synchronization mechanism gives us a synchronization error that closely approximates the limiting analytical results. Last, to better understand the simulation results in terms of some realistic numbers, we consider a system that uses a 1-MHz oscillator and sends a synchronization pulse every microsecond. Using an oscillator from the SPK-SPG series of oscillators, we have f0 1 106 Hz and Df +100 Hz. Using a gure from ref. [35] we take the standard deviation of fr (t) to be 0.001 Hz. For our clock model this translates into ai [ (1 100 10 6 , 1 100 10 6 ), s2 1 10 18 , and ci (t) is counting in microseconds. This means that our ASD value will be on the order of 1 10218 ms, which translates into a timing jitter standard deviation of about 1 ps. 2.6 DISTRIBUTED FREQUENCY SHIFT KEYING

(FIFO) queueing strategy is used and infinite queue size at the BS is assumed. For a finite queue size, see the discussion in the next secton. The duration of a MS in the handoff area depends on system parameters such as the moving speed, the direction of the MS, and the cell size. We define this as the dwell time of a mobile in the handoff area and denote it by random variable Th dwell. For simplicity of analysis, we assume that this dwell time is exponentially distributed with mean E[Th dwell] (= 1/ h dwell). Let us define the state i (i = 0, 1, , ) of a cell as the sum of channels being used in the cell and the number of handoff requests in the queue. It is apparent from the above assumptions that i is a one-dimensional Markov chain. The state transition diagram of the cell is given in Figure 1.8. The equilibrium probabilities P(i) are related to each other through the following state balance equations: i P(i) = ( i P(i) =

where on the trellis of the code sri is the ith branch of the received sequence s r , ci is the ith branch of the code sequence c, sr, ji is the jth symbol of sri , and c ji is the jth code symbol of ci , and where each branch is constituted of n code symbols. The decoding procedure consists of selecting a sequence that maximizes the probability function (37). One algorithm that performs this procedure for convolutional codes is the Viterbi decoding algorithm.

while( !done ) { lookAround() doSomething() }

and is the phenomenological parallel of the psychodynamic construct, splitting. All-ornone thinking is seen as having broad-reaching implications:

lthough Windows XP is arguably the most stable and reliable version of Windows thus far, it isn t perfect. Occasionally you might hit a few digital potholes that throw XP out of alignment. To ensure a smooth ride and eliminate common XP problems, follow the 5-minute xes in this chapter.

A problem may arise, however, if the workbook is not saved when the user closes it. Excel s save workbook before closing prompt occurs after the Workbook_BeforeClose event-handler runs. So if the user clicks Cancel, the workbook remains open, but your custom menu has already been deleted! One solution to this problem is to bypass Excel s prompt and write your own code in the Workbook_BeforeClose procedure to ask the user to save the workbook. The following code demonstrates how:

To transport electrical signals, a transmission medium is required. There are four types of transmission media:

= L (p) pm 1 pm . Adding (5.66) and (5.69) together, we obtain L(p ) + L(p) = L (p ) + L (p) or (L(p ) L (p )) + (L(p) L (p)) = 0.

=0 = 0.

Click the Edit drop-down menu. Select Find & Replace, and then click Find.You can also click the Find button on the Register tab. Enter the piece of text or number that identi es the transaction you want to locate (see Figure 12-8).

In addition to the OS frequencies, the commercial service will use the E6 band (1278.25 MHz), also composed of an in-phase signal incorporating navigation data and an in-quadrature phase pilot signal. The signals in the E6 band will be encrypted for restricted access.

stereotype about how they should perform (Beilock, Jellison, et al., in press). As can be seen in Figure 19.4, prior to the introduction of the negative performance stereotype, there was no significant difference between single-task and dual-task performance. In contrast, following the introduction of ST, golfers performed significantly worse in the single-task than in the dual-task condition. These results suggest that, similar to pressure-induced failure in highlevel proceduralized skills such as putting, stereotype threat occurs because the introduction of a negative stereotype prompts attention to execution in a manner that disrupts the automated processes of such skills. Adding a secondary task prevents this type of maladaptive attention to execution. In a subsequent study (Beilock, Jellison, et al., in press) we determined that this secondary task did not just divert skilled golfers attention away from the stereotype presented to participants, as even a secondary