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Research on pulse noise elimination algorithm of magnetic resonance sounding full-wave signal

机译:磁共振全波信号脉冲噪声消除算法研究

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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.
机译:磁共振测深(MRS)信号很弱。通常,当使用MRS地下水检测仪进行测量时,它非常容易受到外界噪声的干扰,因此从返回的信号数据中提取的特征参数是不准确的。通过反演解释最终导致地下水位置不正确。由于全波信号的采样频率高,采样量大,复杂噪声中的脉冲噪声是最令人讨厌的噪声,因此提出了两种数学形态学算法:t分布测试算法和非线性算子检测算法。我们通过理论计算,数学建模和算法仿真验证了该方法的有效性。经过大量的理论计算,数学建模和仿真分析,得出不同信噪比下合适的算法参数。最后,我们从现场测得的实验数据中验证了这种降噪方法的有效性。

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