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When statistically deriving a prediction model, the contribution of clinical expertise prior to model derivation is often minimal.
Generating reports to document model derivation and simulation results.
Refer to Supplementary Methods (section S2) for model derivation and major assumptions.
The paper discusses the model derivation and implementation.
The model derivation is based on an asymptotic methods related to high frequency periodic source.
Model derivation is based on analytical approach, called matrix structure analysis (MSA).
Benchmarking and model derivation can be done using a small test cluster based on new hardware.
In the model derivation, the dynamics of the ring are based on the Rayleigh-Ritz method.
The present contribution summarises the model derivation, system inversion, feedforward and feedback controller design and the design of the observers.
Besides the mathematical model derivation for x-Folded TM architecture, we discuss the simulation experiment in x-Folded TM using the same assumptions for the purpose of validation.
It is designed to provide tools for all steps starting from full waveform decomposition, sensor calibration, quality control, and terrain model derivation, to vegetation and building modeling.
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