Yuan, Y.
, Qiang, X.
, Song, J.
and Vorburger, T.
(2000),
A Fast Algorithm for Determining the Gaussian Filtered Mean Line in Surface Metrology, Journal of American Society for Precision Engineering (Accessed July 10, 2026)
Official websites use .gov
A .gov website belongs to an official government organization in the United States.
Secure .gov websites use HTTPS
A lock (
) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.
A Fast Algorithm for Determining the Gaussian Filtered Mean Line in Surface Metrology
Published
Author(s)
, X F. Qiang, ,
Abstract
A fast algorithm for assessing the Gaussian filtered mean line was deduced using the central limit theorem and an approximation method. This algorithm only uses simple computer operations such as addition, subtraction and digit shifting, and avoids complicated ones such as multiplication and division, and therefore, can achieve a very high speed and accuracy without phase distortion. A new relationship between the Gaussian filtering method and the classical 2RC filtering method was also established using this algorithm.Citation
Journal of American Society for Precision Engineering
Volume
24(1)
Issue
No. 1
Pub Type
Journals
Keywords
digital filter, Gaussian filter, mean line, surface roughness
Citation
Issues
If you have any questions about this publication or are having problems accessing it, please contact [email protected].
Created January 1, 2000, Updated February 19, 2017