The analysis of the different filtering algorithm effects on the fluorescence spectrum data processing

DOI

10.2991/icmii-15.2015.9How to use a DOI?

Keywords

data processing algorithm; digital filtering; spectral data reducing.

Abstract

Filtering is a main method to eliminate or reduce the noise and is also a basic step to analyzing spectral data accurately in spectral data processing. In this paper, four methods of average value filtering, median filtering, cubical smoothing algorithm with five-point approximation filtering and Savitzky - Golay filtering are used for the noise reducing in the spectral data processing, and results are analyzed and compared.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Haiqiang Wu
AU  - Jie Sun
AU  - Longyang Zheng
PY  - 2015/10
DA  - 2015/10
TI  - The analysis of the different filtering algorithm effects on the fluorescence spectrum data processing
BT  - Proceedings of the 3rd International Conference on Mechatronics and Industrial Informatics
PB  - Atlantis Press
SP  - 46
EP  - 51
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmii-15.2015.9
DO  - 10.2991/icmii-15.2015.9
ID  - Wu2015/10
ER  -