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The default TreeNet uses a six-node tree, but in our model, the optimal likelihood and ROC models are attained when 171 trees are grown, that means at this level, the tree shows the best performance.
In this paper, spectrum sensing techniques from the optimal likelihood ratio test to energy detection, matched filtering detection, cyclostationary detection, eigenvalue-based sensing, joint space-time sensing, and robust sensing methods are reviewed.
Because of the heuristics, FastTree 2 is not guaranteed to reach a locally optimal likelihood in tree space.
When a pelvic mass proves to be a malignant neoplasm, formal staging and thorough surgical resection is required to achieve an optimal likelihood of cure [32].
The ML analysis was conducted using a loop approach to estimate the best tree and the optimal likelihood parameters.
The cutoff value for sensitivity and specificity calculations was set using the optimal likelihood ratio after receiver operator characteristic analysis.
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Finding the optimal Maximum Likelihood (ML) solution with high throughput was limited by the computational performance.
Let us assume a coherent scenario and an optimal maximum likelihood STB code detection.
On both figures, we have also included the performance of the optimal maximum likelihood sequence estimator (MLSE) equalizer for comparison.
At the receiver end, the optimal maximum likelihood (ML) detector aided by the archived information for Gaussian and Laplacian signals in noisy environment is designed and implemented.
They have much lower complexity compared to the optimal maximum likelihood estimator (MLE), and also do not require prior knowledge of noise statistics.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com