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Since CCI is not Gaussian distributed, maximizing SINR cannot guarantee the minimum error probability.
Then, the minimum error probability achieves (p_{text {err}}^{min } = 0.18) and the optimal square zone length is (s_{g}^{text {Opt}} = 1.79r_{f}).
Fig. 11 Minimum error probability p err and square zone length s g /r f using optimal geographic region division scheme.
Moreover, DFT-RDM has always an overall error probability higher than W-DFT-RDM and away from the minimum error probability.
Based on the PEP analysis, the optimum spatial Q-component interleaver design criterion is provided to achieve the minimum error probability.
Based on the analysis of average PEP of coded bits, the optimum spatial Q-component interleaver design criterion is provided to attain the minimum error probability.
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The main constraints for this function thus can be the minimum error probabilities (e.g., false negative/positive rates) and computation time.
This contribution continues this theme, and we provide a generic framework for adaptive minimum error-probability filter design suitable for the employment in a variety of communication systems.
Advantages and disadvantages of the adaptive minimum error-probability filter design are analysed extensively, in comparison with the classic Wiener filter design.
To accomplish the set task, we first obtain the optimal minimum-error probability considering collective measurements (Section 2).
The minimum-error probability for the discrimination between the known states (vert 0 rangle) and (vert alpha _{0}+u/sqrt{n} rangle), (P_{mathrm{e}}^ u,n)), averaged over the Gaussian distribution (G u)), takes the form begin{aligned} P_{mathrm{ e}}^(n) =& int G u) P_{mathrm{ e}}^ (u,n), d^{2}u =& int G u) frac{1}{2} bigl 1-sqrt{1-bigl|langle{0}|{alpha _{0}+u/sqrt{n}}ranglebigl 1-sqrt{1-bigl|langle{
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minimum protein probability
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