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For completeness, weighted least squares accounting for nonzero covariances among the measurements y of yTrue together with an errors in predictors approach accounting for errors in x is also presented.
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This is certainly the case when periodic excitation is applied and an errors-in-variables noise model can be determined.
Accurate modal parameter identification starting from FRF data acquired in the presence of measurement noise is possible by considering FRF estimators developed in an errors-in-variables framework.
First of all, the nonparametric estimation of multivariable frequency response functions can be more easily based on an "errors-in-variables" stochastic framework.
In order to use an errors-in-variables noise model, a linear approximation is necessary in order to obtain a fast implementation of the GTLS algorithm.
An errors-in-variables case is considered, i.e. both measured input and output signals are affected by noise.
An earlier version contained an error in the name of Congressman Brad Ellsworth, (D-IN).
Standard Life blames an error in its calculations.
He made an error in judgment.
Was it an error in judgment?
I found an error in the database.
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