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Let s see how to apply the superposition theorem to the circuit shown in Fig. 4-1. EXAMPLE 4-1 Use the superposition theorem to nd the current through the 4 Fig. 4-1. resistor in
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// Namespaces are additive. using System; // Bring Counter into view. using Counter;
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about the same number of calls. Thus, we assume that any differences in overall traffic demand will be based on differences in subscriber numbers between cities rather than differences in average per-user demand. Since we typically bill per minute and on a monthly basis, we will commonly find that traffic forecasts are often provided in terms of minutes of use (MoU) per subscriber per month. Let s assume our minutes of use per subscriber are as shown in Table 9-2. These figures apply to originating calls only. The first job of the network designer is to convert such a forecast into measurements that are more meaningful in network design. In particular, the network designer must establish the traffic demand during the busy hour and the MHT per call. Example: Average User with 120 MoUs per Month of Domestic Long-distance Traffic Assume, for example, that 60 percent of the traffic occurs during weekdays (that is, 40 percent on weekends) and that there are 21 work days per month. Assume that on a given day, 20 percent of the
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where the minus sign means a negative gain or attenuation. 2. Proof of the rise time equation for the same resistor capacitive circuit. Since digital signal voltages vary between two values, the response of this circuit to sudden voltage changes is important. The rise time is the measure of this response. A short rise time means this circuit responds faster to sudden changes in input voltage. This circuit follows the charging curve for the RC circuit where R C the circuit time constant where R is in ohms and C is in farads. Since the output voltage is Vc, we may write Vc Vmax(1 e
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if(counter < max) { usercount = counter; delaytime = 0; }
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