Research about Weak Signal Processing of Microstage Based on Wavelet Entropy

DOI

10.2991/icecee-15.2015.113How to use a DOI?

Keywords

weak signal processing; microstage; wavelet entropy; adaptive threshold extraction

Abstract

This paper deals with the research on conditioning and filtering scheme of weak signals for the micro-positioning-stage and its measurement & control system. Through the analysis of the general filtering scheme of the weak signals, and the combination with the performance index of the system, this paper filters the noises utilizing the weak signal adaptive threshold extraction method based on wavelet entropy. This paper carried out comparable simulation and experimental tests with the proposed threshold method. The test results show that the wavelet entropy based threshold extraction method can obtain higher SNR and SNRG.

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  - Ruimin Cao
AU  - Lina Hao
AU  - Xinchao Zhang
AU  - Hanyan Sun
PY  - 2015/06
DA  - 2015/06
TI  - Research about Weak Signal Processing of Microstage Based on Wavelet Entropy
BT  - Proceedings of the 2015 International Conference on Electrical, Computer Engineering and Electronics
PB  - Atlantis Press
SP  - 549
EP  - 554
SN  - 2352-538X
UR  - https://doi.org/10.2991/icecee-15.2015.113
DO  - 10.2991/icecee-15.2015.113
ID  - Cao2015/06
ER  -