首页> 外文期刊>Precision Engineering >A fast algorithm for determining the Gaussian filtered mean line in surface metrology
【24h】

A fast algorithm for determining the Gaussian filtered mean line in surface metrology

机译:确定表面计量学中高斯滤波均值线的快速算法

获取原文
获取原文并翻译 | 示例
           

摘要

A fast recursive algorithm for determining the Gaussian filtered mean line was deduced using the central limit theorem and an approximation method. This recursive algorithm uses a small number of multiplications per loop and otherwise such simple computer operations as addition and subtraction, and therefore, can achieve a very high computational speed. Special cases are also presented in which the relatively inefficient multiplication operation in the computer can be replaced by the efficient digit shifting operation, and the filtering computational efficiency is enhanced further. High-order algorithms are proposed for practical use to improve filtering accuracy. The "forward filtering" and "backward filtering" implementation of the recursive algorithm results in zero phase distortion of the filtered mean line. A new relationship between the Gaussian filtering method and the classical 2RC filtering method is also established using this algorithm.
机译:利用中心极限定理和一种近似方法,推导了一种确定高斯滤波均值线的快速递归算法。此递归算法每个循环使用少量乘法,否则使用诸如加法和减法之类的简单计算机操作,因此可以实现很高的计算速度。还提出了特殊情况,其中计算机中相对低效的乘法运算可以由有效的数字移位运算代替,并且滤波计算效率得到进一步提高。提出了实用的高阶算法以提高滤波精度。递归算法的“前向滤波”和“后向滤波”实现导致滤波后的均值线的零相位失真。使用该算法还建立了高斯滤波方法和经典2RC滤波方法之间的新关系。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号