Kai Klaas wrote:
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By writing this, I want to focuse, that I do not recommend polynomial fits for usual cases. It's my experience, that a good linear fit, having enough 'milestones' (data points), with straight lines from point to point, can also result in a 'curved' line with enough precision.

The method is also known as piece-wise linear approximation. Its certainly fast. A polynomial is however easier to calibrate, since you only need as many points as the order of the polynomial.

I do throughly recommend though that you seek out the early thread I mentioned by "J.C. Box" - it was a classic explanation of high speed de-convolution.

Steve