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To solve the problem of filter divergence and further reduce the computational cost, a general statistical interference method, the bootstrap method, is added to the EnKF algorithm.
A future work will pertain to improving the statistical interference power model by more closely linking the proposed model developed for a combined Rayleigh fading-lognormal shadowing environment to the 'exact' analytical formula obtained in the case where only Rayleigh fading was considered.
A futility analysis [ 41] is planned after randomization after 132 patients, using a Bayesian statistical interference, with no impact on Type 1 error [ 42].
The evaluation of sequencing data is a computationally challenging task due to the volume of data involved and because of statistical interference in the algorithms used for elucidating the genomic organization of novel eukaryotic genomes.
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Statistical noise.
Further developments should incorporate a robust approach for the situation where the interference statistical model is not known or the statistical parameters are time-varying.
These methods usually assume certain statistical properties for interference and tend to lack the capacity of dealing with a variety of interferences.
In conclusion, in this article we have shown how the estimation of the interference statistical parameters can be beneficial to improve the performance of a power allocation technique, provided that the statistical model fits the real data.
A statistical model of interference aggregation in spectrum-sensing cognitive radio networks was developed in [5].
In this section, we will develop a statistical model of interference aggregation caused by the SUs.
Usually, statistical models of interference and targets are assumed and their parameters are estimated using the available data.
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