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In the simulations we will analyze single epoch, single frequency success rates as the most challenging application.
Thus, in the following simulations, we will initialize the proposed SCLD-based RA algorithm with BPA.
In the following simulations, we will focus only on equalization issues without optimizing the power allocation of the different subcarriers.
In Section 5, through simulations we will show that these bounds are quite tight in most cases.
In the simulations, we will show that our algorithm significantly outperforms DMP in terms of both accuracy and speed.
Nevertheless, in our simulations we will extend our results to other families including Daubechies, Morlet, Meyer, Symlet, and Coiflet.
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For the long term simulation model, we will use input from the trial and run the model to predict long term costs, effects and incremental cost-effectiveness ratios, using both MS Excel files and TreeAge Data [ 19].
In this last simulation, we will consider a population colonizing a new environment.
In the second simulation, we will add the effect of natural selection.
In the following simulation, we will show how different parameters affect the system states and output.
In the last simulation, we will illustrate the relationship between our LVF method and the existing HOT method.
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