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2006 First International Multi-Symposiums on Computer and Computational Sciences
A Vortex Signal Processing Method Based on Wavelet Neural Network
Hangzhou, Zhejiang, China
June 20-June 24
ISBN: 0-7695-2581-4
ASCII Text
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Liying Zheng, Kai Tian, "A Vortex Signal Processing Method Based on Wavelet Neural Network," Computer and Computational Sciences, International Multi-Symposiums on, vol. 1, pp. 288-289, 2006 First International Multi-Symposiums on Computer and Computational Sciences, 2006.
 
 
BibTex
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@article{ 10.1109/IMSCCS.2006.27,
author = {Liying Zheng and Kai Tian},
title = {A Vortex Signal Processing Method Based on Wavelet Neural Network},
journal ={Computer and Computational Sciences, International Multi-Symposiums on},
volume = {1},
year = {2006},
isbn = {0-7695-2581-4},
pages = {288-289},
doi = {http://doi.ieeecomputersociety.org/10.1109/IMSCCS.2006.27},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Computer and Computational Sciences, International Multi-Symposiums on
TI - A Vortex Signal Processing Method Based on Wavelet Neural Network
SN - 0-7695-2581-4
SP288
EP289
A1 - Liying Zheng,
A1 - Kai Tian,
PY - 2006
VL - 1
JA - Computer and Computational Sciences, International Multi-Symposiums on
ER -
 
Liying Zheng, Harbin Engineering University, China
Kai Tian, Harbin Engineering University, China
A vortex flowmeter has many advantages, such as high precision, good reliability, and proportionality of frequency of vortex signal with the liquid volume. However it is subjected to noise disturbances caused by pipe vibrations and fluid turbulence. The processing circuits with the vortex flowmeter are unable to ensure the measuring accuracy in industrials. This paper presents a vortex signal processing method based on wavelet neural network. The simulation results show that, the method can significantly de-noise.
Citation:
Liying Zheng, Kai Tian, "A Vortex Signal Processing Method Based on Wavelet Neural Network," imsccs, vol. 1, pp.288-289, 2006 First International Multi-Symposiums on Computer and Computational Sciences, 2006
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