DocumentCode :
2574026
Title :
Method of extracting weak signals from strong disturbance field in coal mineral well based on wavelet transform
Author :
Yu, Sheng Chen ; Zhao, Zi Qiang ; Yu, Gui Xiang ; Jin, Xu Ling ; Chen, Yu Bin ; Zhou, Wen Hao
Author_Institution :
Comput. Sci. Dept., North China Univ. of Sci. & Technol., Beijing, China
Volume :
2
fYear :
2010
fDate :
28-31 Aug. 2010
Firstpage :
146
Lastpage :
149
Abstract :
Disturbance fields in the coal mineral well give a so serious problem on the work of general electric investigation that sometime process of observing useful signal cannot be finished. For extracting weak effective signals from strong disturbance field in coal mineral well, original measured signals are decomposed by wavelet transform and Mallet algorithm, and the weak effective signals are extracted successfully. Experimental results show that the approach method is feasible and efficient.
Keywords :
coal; geophysical prospecting; geophysical signal processing; minerals; wavelet transforms; Mallet algorithm; coal mineral well; general electric investigation; geophysical prospecting; strong disturbance field; wavelet transform; weak signal extraction; Image resolution; Minerals; Signal resolution; Spline; Voltage measurement; Wavelet transforms; Coal mineral well; Disturbance field; Geophysical prospecting; Wavelet transform; Weak signals;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing (IITA-GRS), 2010 Second IITA International Conference on
Conference_Location :
Qingdao
Print_ISBN :
978-1-4244-8514-7
Type :
conf
DOI :
10.1109/IITA-GRS.2010.5602167
Filename :
5602167
Link To Document :
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