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A maximum likelihood estimator for linear and nonlinear systems-a practical application of estimation techniques in measurement problems

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3 Author(s)
J. Schoukens ; Dept. of Electr. Meas., Vrije Univ. Brussel, Belgium ; R. Pintelon ; J. Renneboog

A method is presented for estimating the parameters of linear systems and nonlinear systems. The linear systems are modeled by their transfer function, while the nonlinear systems are described by a Volterra series. The estimator belongs to the class of maximum-likelihood estimators. During the estimation process, the Cramer-Rao lower bound on the covariance matrix of the estimates is derived

Published in:

IEEE Transactions on Instrumentation and Measurement  (Volume:37 ,  Issue: 1 )