Smoothing Small Data Set With Second Order Quadratic Curve

Posted by Rev316 on Stack Overflow See other posts from Stack Overflow or by Rev316
Published on 2010-04-06T01:16:18Z Indexed on 2010/04/06 1:23 UTC
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Filed under:

statistics

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quadratic

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c++

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c

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signal-processing

I'm doing some specific signal analysis, and I am in need of a method that would smooth out a given bell-shaped distribution curve. A running average approach isn't producing the results I desire. I want to keep the min/max, and general shape of my fitted curve intact, but resolve the inconsistencies in sampling.

In short: if given a set of data that models a simple quadratic curve, what statistical smoothing method would you recommend?

If possible, please reference an implementation, library, or framework.

Thanks SO!

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