Research about Weak Signal Processing of Microstage Based on Wavelet Entropy
Ruimin Cao, Lina Hao, Xinchao Zhang, Hanyan Sun
Available Online June 2015.
- https://doi.org/10.2991/icecee-15.2015.113How to use a DOI?
- weak signal processing; microstage; wavelet entropy; adaptive threshold extraction
- 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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
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 - 2015 2nd International Conference on Electrical, Computer Engineering and Electronics PB - Atlantis Press SN - 2352-538X UR - https://doi.org/10.2991/icecee-15.2015.113 DO - https://doi.org/10.2991/icecee-15.2015.113 ID - Cao2015/06 ER -