Model Parameter Estimation for 2D Noncausal Gauss-Markov Random Fiel
نویسندگان
چکیده
An original procedure for estimating the model of a noncausal Gauss-Markov Random Field (GMRF) bservations is proposed. Starting from a suitable ’local’ on of the field and taking into account the symmetry the so-called ’potential fields’ [3] describing the GMRF, uation system relating the model parameters to the on-stationary) 2D autocorrelation function (acf) of the ld is derived. Its solution for a known (or estimated) acf s the parameter estimates of the GMRF. The unkown the eventually present observation noise can be also intly with the model parameters.
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تاریخ انتشار 1995