Abstract:
We consider a stationary process (with either discrete or continuous time)
and find an adaptive approximating stationary process combining high
quality approximation and other good properties
that can be interpreted
as additional smoothness or small expense of energy. The problem is solved
in terms of spectral characteristics of the original process using
the classical analytic methods of prediction theory.
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