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They are used in data reconstruction and MC simulation.
In contrast to conventional data reconstruction methods based on conservative variables, the water surface level is chosen as the basis for data reconstruction.
Both the orientation data reconstruction accuracy and stiffness prediction accuracy are discussed.
The core of many data reconstruction algorithms in high energy physics is the Kalman filter.
Those systems differ from each other in detector design, patient scanning settings, and data reconstruction parameters.
It is usually necessary to minimize the sample size for valuable data reconstruction.
A general model order determination strategy for the measurement data reconstruction is proposed.
The data reconstruction was done with the instrument's software package IVAS3.6.4.
Here (mathcal {R}) is obtained at a given data reconstruction accuracy (epsilon ) defined as the NRMSE.
2) A general model order determination strategy for the measurement data reconstruction is proposed.
We use the stagewise orthogonal matching pursuit (StOMP) algorithm [21] as the sparse data reconstruction method.
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