>That is, the optimum noise filter is generally the same shape as the signal of interest ...
Has this been proven, or it just common sense? And if the filter is the same shape as the signal, why does one need the signal at all? I guess I don't know precisely what you mean, but anyway, I like the concept, which seems to have a sort of Bayesian aroma to it.
I'd also be interested to know of a well-defined and useful measure of the goodness of a filter.
Good weekend,
Jacob Keller
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