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
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