The first ``statement of wishes'' is that the observational data should result from a linear interpolation of the uniformly sampled model space ; that is, .Expressing this as a change gives the fitting goal in terms of the model change, .The second wish is really an assertion that a good way to find missing parts of a function (the model space) is to solve for the function and its PEF at the same time. We are merging the fitting goal () for irregularly sampled data with the fitting goal (36) for finding the prediction-error filter.
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Before you begin to use this nonlinear fitting goal, you need some starting guesses for and .The guess is satisfactory (as explained later). For the first guess of the filter, I suggest you load it up with as I did for the examples here.