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Optimal detector consists of a simple receiver with a memory to find the optimal threshold based on the previous detected data.
The optimal detector becomes prohibitively complex.
Minimizing the mean detection time only can lead to optimal detector placements with a good expected behavior, but unacceptable worst-case behavior.
The robustness of the proposed optimal detector is evaluated using detection error, and detection performance is demonstrated by simulation experiments.
A range of CSS physical parameters are studied to determine optimal detector geometry and to maximize the Compton suppression factor.
A genetic algorithm is adopted in the EvoSeedRNSA to evolve the random seeds to generate an approximately optimal detector set.
"Modeling variation coefficient of wave-induced underwater irradiance for clear ocean and its application to find the optimal detector size," Applied Optics, 57(17), 4785-4794 (2018) (with Xu, Z.).
However, if the detector leads to very low contrast of the image in the presence of neighboring atom columns, the optimal detector radius decreases.
A novel Segregated K-Best detection (SKD) algorithm is proposed to serve as low complexity near optimal detector for MIMO receivers.
In this manner, the optimal angular tilt range, required electron dose, optimal detector angles, and number of projection images can be determined.
Results indicate a 125-mm diameter as the optimal detector size for initial prototype design achieving a 10% efficiency for the thermalization of incident fission neutrons from 252Cf.
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