Nuclear magnetic resonance underground water detection signal noise eliminating method based on independent component analysis (ICA)
A technology of nuclear magnetic resonance and detection signals, which is applied in electron magnetic resonance/nuclear magnetic resonance detection, electric/magnetic exploration, geophysical measurement, etc., and can solve problems that affect detection accuracy, residual, and noise
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[0049] figure 1 It is a working flow chart of the ICA-based method for eliminating power-frequency harmonic noise of nuclear magnetic resonance groundwater detection signals. Aiming at the interference of power frequency harmonics in the NMR groundwater detection, by constructing the sine function and cosine function with the same frequency as the power frequency harmonics, and composing the observation signal with the NMR response signal, the observation signal is separated by using the ICA algorithm. And the method of data reconstruction is used to solve the problem of amplitude attenuation in the process of ICA separation.
[0050] figure 2 It is a working block diagram of using the ICA algorithm to eliminate the random noise of the nuclear magnetic resonance groundwater detection signal after removing the power frequency noise. The three sets of nuclear magnetic resonance data after removing the power frequency noise are used as observation signals, processed by the ICA ...
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