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How exciting can a signal really be?
Authors:I. M. Y. Mareels   R. R. Bitmead   M. Gevers   C. R. Johnson   Jr    R. L. Kosut  M. A. Poubelle
Abstract:The rate of parameter convergence in a number of adaptive estimation schemes is related to the smallest eigenvalue of the average information matrix determined by the regression vector. Using a very simple examples, we illustrate that the input signals that maximize this minimum eigenvalue may be quite different from the input signals that optimize more classical input design criteria, e.g. D-optimal criterion.
Keywords:Exponential convergence   Persistence of excitation   Experiment design
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