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位移-时间数据的平滑与微分:样条函数与数字滤波的一种应用

Smoothing and differentiation of displacement-time data: an application of splines and digital filtering.

作者信息

Vaughan C L

出版信息

Int J Biomed Comput. 1982 Sep;13(5):375-86. doi: 10.1016/0020-7101(82)90003-4.

Abstract

The advent of the digital computer has allowed workers in the field of biomechanics to perform data smoothing and time differentiation numerically. The methods which are most commonly used are spline functions and digital filtering. This paper provides raw displacement-time data for an object falling in the earth's gravitational field and demonstrates the results obtained using splines and digital filtering to calculate acceleration. It is recommended that the quintic spline is a good method to use provided one has sufficient core available, and the digital filter, with some form of augmentation and/or velocity smoothing, can yield satisfactory results for the user who has a mini- or micro-computer. Listings of the digital filter and finite difference subroutines are provided.

摘要

数字计算机的出现使生物力学领域的研究人员能够通过数值方法进行数据平滑和时间微分。最常用的方法是样条函数和数字滤波。本文提供了一个物体在地球引力场中下落的原始位移-时间数据,并展示了使用样条函数和数字滤波计算加速度所得到的结果。建议如果有足够的内存,五次样条函数是一种很好的方法;对于拥有小型或微型计算机的用户来说,经过某种形式增强和/或速度平滑处理的数字滤波器能够产生令人满意的结果。文中还提供了数字滤波器和有限差分子程序的列表。

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