吉林大学学报(工学版) ›› 2015, Vol. 45 ›› Issue (6): 2043-2048.doi: 10.13229/j.cnki.jdxbgxb201506044

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Frequency-domain regularized Wiener filtering for seismic random noise suppression

TIAN Ya-nan1,2, LI Yue1, LIN Hong-bo1, XU Xue-chun2   

  1. 1.College of Communication and Engineering, Jilin University, Changchun 130012, China;
    2.College of Earth Sciences, Jilin University, Changchun 130061, China
  • Received:2014-08-21 Online:2015-11-01 Published:2015-11-01

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Abstract: A Frequency-domain Regularized Wiener Filtering (FDRWF) is proposed. A novel objective function is constructed with an additional noise constrain item and a regularized factor. An amplitude adapting factor is brought in to solve the signal losses resulted from filtering. Moreover, the noise spectrum is estimated by the first arrival noise and noisy record. Experimental results on both synthetic records and field data show that the novel method has superior performance to median filtering and traditional Wiener filtering. Meanwhile, signal losses and derivation are reduced obviously. The effectiveness of the regularized idea in the novel method is proved.

Key words: signal processing, regularized wiener, seismic random noise, noise constraint item, regularized factor

CLC Number: 

  • TN911.7
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