Quote:
Originally posted by Alchemy
Not sure what you mean by such tiny differences.
What are the R-squared values, and how many points are you interpolating from?
Alchemy
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which root squares ? The polynomial interpolation i use produce a function such as every point supplied in the dataset is a control point, and such as the resulting polynom passes exactly by control points.
The tiny diffenrences are produced at interpolated values, between 2 different methods. Given the order of those differences i consider them as zero.
I haven't tested complex / weird datasets though, so i don't know how which method fares at limits.
The 'wavelet syndrome' is oversensivity of interpolated data on one end of the set when you 'move' one point on the other end of the data set. The resulting function overcompensates and produces sort of 'waves' on one end. This is easily corrected by a more complete data set but it's worrying nevertheless.
I'll provide a small test tool so you can see by yourself.
(matlab): it's not a programming language, and it does nothing a real programming language can't do. Besides the sim is meant to be distributable to anyone as an executable program (and sources), and free. Matlab doesn't answer these needs.