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Then, a fine time adjustment algorithm is performed to find the actual delayed timing in channels.
Finally, the PDR algorithm is performed to calculate the user's locations in a real-time manner.
First, a coarse timing offset (CTO) estimation algorithm is performed to estimate the CTO and the inter-transmitter delays.
The sorting algorithm is performed to retrieve the list of all neighbor nodes about its hop distance.
Optimization by genetic algorithm is performed to determine the characteristics of a bi-layer material minimizing the scattering.
Based on the global statistics, an EM algorithm is performed to estimate the global GMM (see also [160]).
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However, the majority-voting-based ensemble learning algorithm was performed to boost the classification results of the pairwise bilinear features in the first-stage ensemble learning.
Then the inverse Fourier transform and the overlap-adding algorithm are performed to obtain the enhanced speech signal in the time domain.
However, the majority-voting-based ensemble learning algorithm was performed to boost the classification results of the 5-column features in the first-stage ensemble learning.
Multi-objective genetic algorithm was performed to attain a single set of processing parameters that could produce both the highest light olefin selectivity and yield.
A heuristic search procedure using the tree bisection/reconnection branch swapping algorithm was performed to find the optimal ML tree topology (with 70,000 rearrangements).
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