DocumentCode :
675606
Title :
Research on pulse noise elimination algorithm of magnetic resonance sounding full-wave signal
Author :
Bao-Feng Tian ; Yan-Yong Zi ; Yuan-yuan Zhou ; Yue Wang ; Lei Zhang ; Hao Sun
Author_Institution :
Coll. of Instrum. & Electr. Eng., Jilin Univ., Changchun, China
fYear :
2013
fDate :
17-19 Dec. 2013
Firstpage :
6
Lastpage :
10
Abstract :
Magnetic resonance sounding (MRS) signal is quite weak. Usually it is very susceptible to outside noise interference when measured using MRS groundwater detector, so that the characteristic parameters extracted from the returned signal data are inaccurate; eventually leading to an inaccurate location of groundwater through inversion explanation. And because of the high sampling frequency and large sampling quantity of full-wave signals, the impulse noise among complex noises is most disturbing noise, we come up with two kinds of mathematical morphology algorithm, t distribution test algorithm and nonlinear operator detection algorithm. We have verified the validity of the method through theoretical calculation, mathematical modeling and algorithm simulation. We get appropriate algorithm parameters under different signal-to-noise ratio after lots of theoretical calculation, mathematical modeling and simulation analysis. Finally, we verified the effectiveness of this de-noising method from the experimental data measured in field.
Keywords :
geophysical signal processing; groundwater; hydrological techniques; inverse problems; magnetic resonance; signal denoising; statistical testing; MRS groundwater detector; algorithm parameters; algorithm simulation; complex noise; full wave MRS signal; full wave signal sampling quantity; impulse noise; inversion explanation; magnetic resonance sounding; mathematical modeling; mathematical morphology algorithm; nonlinear operator detection algorithm; pulse noise elimination algorithm; returned signal data; sampling frequency; signal-noise ratio; t distribution test algorithm; Algorithm design and analysis; Detection algorithms; Filtering; Interference; Magnetic resonance; Signal to noise ratio; Magnetic resonance sounding signal; Pulse noise; distribution test; full-wave signal; nonlinear operator detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wavelet Active Media Technology and Information Processing (ICCWAMTIP), 2013 10th International Computer Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4799-2445-5
Type :
conf
DOI :
10.1109/ICCWAMTIP.2013.6716589
Filename :
6716589
Link To Document :
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