基于小波去噪和Lab VIEW的最佳拟合曲线

A Better Way to Get Curve Fitting

介绍了测量数据的最小二乘法的拟合曲线。给出了使用LabVIEW实现拟合曲线的方法,同时给出了使用Mathcad的Ksmooth函数进行数据处理的方法。通过比较数据,应用小波去噪前后的,不同幂次的多项式拟合所得到的动态实时参数,给出了一条寻找最佳曲线的途径。使得理论、实验和计算机运算获得了完全的一致。从而为数据测量的前期工作和获取结果指出了一条简捷可行,科学的方法。

This article introduced the curve fitting of the least square method with the measuring data. And it shows the method for the realization of it by using LabVIEW and wavelet noise abatement. Through comparing with the data either processed or unprocessed, and dynamic and actual time parameters from the different curve fitting polynomial of power set, we get a better method to acquire the real curve. Then the theory, experiment and computer calculation are in full accord. Therefore, pointing out a simple, feasible and scientific method for data measurement in previous working and result getting.