吉林大学学报(工学版) ›› 2015, Vol. 45 ›› Issue (5): 1642-1651.doi: 10.13229/j.cnki.jdxbgxb201505038

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Noise cancellation algorithm for surface magnetic resonance signals based on self-adaption and reconstruction of wavelet modulus maximum value

SUN Shu-qin, MENG Qing-yun, FANG Xiu-cheng, LIN Jun, WANG Ying-ji, TIAN Bao-feng, YANG Nan   

  1. College of Instrumentation and Electrical Engineering, Jilin University, Changchun 130061, China
  • Received:2014-05-16 Online:2015-09-01 Published:2015-09-01

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Abstract: Based on the principle of binary wavelet transform, a method of reconstruction of wavelet modulus maximum value for the noise in Magnetic Resonance Sound (MRS) signals is proposed. Combined with adaptive notch filter, the method is used to filter out noise. By analysis of the data of the initial amplitude, the average decay time and phase etc posterior the fitting of envelope signals, it is known that after several times of filtering processing of the noise signals, the obtained fitting error of the characteristic parameters is minimum, and the Signal to Noise Ratio (SNR) is obviously improved. Real data were measured and noise filtering was carried out using the proposed method in this paper. The obtained results are in good agreement with the drilling results, which verifies the effectiveness of the proposed method.

Key words: communication technology, magnetic resonance sounding, interference filter, adaptive filter, reconstruction of wavelet modulus maximum value

CLC Number: 

  • TN911
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