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The performance of the approximation techniques is examined as well.
As a future work, we plan to simulate the performance of the approximation algorithm for various environments, such as urban, suburban, and rural.
The performance of the approximation is compared with the performances of the more commonly used methods for different types of input spectra.
These details have a great influence on the performance of the approximation algorithm, both in terms of quality as well as time and space usage.
In this case, we checked the performance of the approximation formula (4).
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Consequently, the performance of the analytic approximation (11) is not fully satisfying either, since the analytic approximation was derived under the assumption that the electrodes are placed in a large medium.
The figure presents the performance of the series approximation proposed in (20) for the PEP of modulation diversity.
In this section, we characterize the performance of the sparse approximation of the cost-to-go function proposed herein.
A numerical illustration of the performance of the asymptotic approximation formula of mean in equation (12) is provided in Table 5.
We also illustrate the performance of the adaptive approximation filter in comparison with the respective 'exact' rank filter in a boxcar moving window.
Therefore the performance of the ZPiOR approximation (PFPPC+ZPiOR) becomes asymptotically (as L → ∞) close to that of the PFPPC scheme, except for the single channel case with m = 0. 5, where one can use the EPPR approximation instead to reduce complexity.
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