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The optimal transmitter polarizations can be obtained by maximizing the output signal-to-interference-plus-noise ratio (SINR) in each coherent processing interval (CPI).
By combining the sample information (likelihood function) and the smoothness information (smooth prior distribution) in the Bayes' theorem, the influence of statistical fluctuations is effectively removed, and greatly improved estimation can be obtained by maximizing the posterior probability.
By combining the sample information (likelihood function) and the smoothness information (smooth prior distribution) in the Bayes' theorem, the influence of statistical fluctuations is effectively removed, and greatly improved estimation, which is close to the true distribution, can be obtained by maximizing the posterior probability.
The solutions can be obtained by maximizing the bound numerically.
The MLE (widehat {{boldsymbol {theta }}}) of θ can be obtained by maximizing the log-likelihood function (17).
Then, the MML estimator can be obtained by maximizing L subject to the linear constraint tr = N.
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The parameters for the NL-means method are obtained by maximizing kurtosis value of bearing vibration signal.
The optimum values of decision variables were obtained by maximizing the objective function using genetic algorithm optimization technique.
Based on exergy analysis, the optimal operation performance of the chilled water system and each equipment under specific load condition are obtained by maximizing their exergy efficiencies respectively.
The optimum common process mean and screening limits are obtained by maximizing expected profit function using the Gauss Seidel's iterative method.
The solution is obtained by maximizing a lower bound analysis and yields a yield hyper-surface that is exact within the limitations of the formulation.
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