Smoothing Small Data Set With Second Order Quadratic Curve
- by Rev316
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!