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The problem of estimating the poles of a linear time-invariant stochastic continuous-time system from evenly sampled data, affected by discrete-time measurement noise, is studied. The proposed solution is to use the Yule-Walker equation and the total least squares algorithm. The Cramer-Rao lower bound for the estimation problem is derived and the properties of the proposed solution and four other...
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