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Transient responses were derived by a numerical inversion algorithm.
The apparent mass and the head vibration transmission responses were derived using two different frequency response function estimators based upon the cross- and auto-spectral densities of the response and excitation signals, denoted as H1 and Hv estimators, respectively.
Based on the equations of motion which consider mechanical and electromagnetic interactions of the motor, the sensitivity equations for the dynamic responses were derived by applying the direct differential method.
Statistical testing to compare the distribution of responses between America and other regions of the world was not performed, since survey responses were derived from two distinct perspectives.
The amplitude (a-scale) and implicit time (t-scale) of all local (first-order) mfERG responses were derived using the algorithm of Hood and Li [ 17].
These responses were derived from the fitted parameters (betas) as the magnitude of the HRF based on [ 52] and using the Matlab scripts from [ 53].
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First, the approximate solutions of steady state responses are derived.
Relationships between MDMF of the first normal coordinate and MDMFs of responses are derived.
Frequency responses are derived analytically for a number of cases, including slow frequency-sweeps across resonance.
Finally, the transient dynamic responses are derived using a modified precise integration method on the reduced stage.
Estimates of impulse responses are derived from evaluation of the free path distribution and of the free path transition probabilities.
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