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Figure 10 Performance of probability of false alarm using AND-rule cooperative sensing under various SNR conditions.
Figure 7 Performance of probability of false alarm using OR-rule cooperative sensing under various SNR conditions.
Figure 11 Performance of probability of false alarm using AND-rule cooperative sensing at different sample sizes.
In the case of the set is 90%, for all 5 users and bad SNR condition of 6 dB, a target of about 10% can be achieved by using sample size of 400. Figure 8 Performance of probability of false alarm using OR-rule cooperative sensing under various SNR conditions.
The algorithm is applied to E.coli data set to validate the correctness and performance of probability isomorphic algorithms, using exact graphs.
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Performance of error probability is analyzed for the proposed scenario with maximum-likelihood decoding, in which the exact pairwise error probability is derived.
Tao et al. (2002) propose a systematic procedure to compare the performance of different probability distributions.
Moreover, we use the rake receiver technique to improve the performance of outage probability.
The superior performance of class probability estimates is to be expected from the very purpose of these estimates.
We give numerical results to prove the impact of source power, interference power and the number of CCIs on the performance of outage probability and throughput.
The authors in [22] proposed a channel allocation scheme for the IEEE 802.22 system which improves the performance of the probability of forced termination rates (FTR).
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