Share Email Print
cover

Proceedings Paper

Decreasing the amplitude deviation of Guassian filter in surface roughness measurements
Author(s): Bo Liu; Yu Wang
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

A new approach for decreasing the amplitude characteristic deviation of Guassian filter in surface roughness measurements is presented in this paper. According to Central Limit Theorem, many different Guassian approximation filters could be constructed. By using first-order Butterworth filter and moving average filter to approximate Guassian filter, their directions of amplitude deviation are opposite, and their locations of extreme value are close. So the linear combination of them could reduce the amplitude deviation greatly. The maximum amplitude deviation is only about 0.11% through paralleling them. The algorithm of this new method is simple and its efficiency is high.

Paper Details

Date Published: 31 December 2008
PDF: 6 pages
Proc. SPIE 7130, Fourth International Symposium on Precision Mechanical Measurements, 713054 (31 December 2008); doi: 10.1117/12.819744
Show Author Affiliations
Bo Liu, Harbin Univ. of Science and Technology (China)
Yu Wang, Harbin Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 7130:
Fourth International Symposium on Precision Mechanical Measurements
Yetai Fei; Kuang-Chao Fan; Rongsheng Lu, Editor(s)

© SPIE. Terms of Use
Back to Top