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Formulation for Multiple-channel Output Measurements

Assume that discrete response data are available for No N ) instrumented DOFs and use Ar to denote the sampling time step. Because of measurement noise and modeling error, referred to hereafter jointly as prediction error, the measured response y e at time t = nAt differs [Pg.110]

Consider a discrete stochastic vector process y and a finite number of discrete data points = y , n = 1,2. A. Based on D a discrete estimator of the spectral density matrix of the stochastic process y is introduced  [Pg.111]

Since x and e are assumed statistically independent, q and e are also independent. By using Equations (3.8) and (3.44), taking expectation of Equation (3.46), yields  [Pg.111]

Bayesian Methods for Structural Dynamics and Civil Engineering [Pg.112]

Grouping together the terms with the same value of n - n, the following expression can be obtained by taking expectation of Equation (3.50)  [Pg.112]


See other pages where Formulation for Multiple-channel Output Measurements is mentioned: [Pg.110]   


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