Laser & Optoelectronics Progress, Volume. 56, Issue 7, 071503(2019)

Seismic Signal Blind Denoising Based on W-Weighted Nuclear Norm Minimization

Zhenjie Feng1、* and Weixue Han2
Author Affiliations
  • 1 School of Computer and Information Engineering, Anyang Normal University, Anyang, Henan 455000, China
  • 2 Yongyou Software Company Tianjin Branch, Tianjin 300508, China
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    References(26)

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    [16] Ke Q F, Kanade T. Robust L1 norm factorization in the presence of outliers and missing data by alternative convex programming. [C]//IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1, 739-746(2005).

    [17] Wright J, Ganesh A, Rao S et al. Robust principal component analysis: exact recovery of corrupted low-rank matrices via convex optimization. [C]//Advances in Neural Information Processing Systems, 87, 20-56(2009).

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    [20] Au-Yeung E. Dictionary learning for sparse representation based on nuclear norm minimization. [C]//International Conference on Sampling Theory and Applications, 570-574(2017).

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    Zhenjie Feng, Weixue Han. Seismic Signal Blind Denoising Based on W-Weighted Nuclear Norm Minimization[J]. Laser & Optoelectronics Progress, 2019, 56(7): 071503

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    Paper Information

    Category: Machine Vision

    Received: Sep. 4, 2018

    Accepted: Oct. 26, 2018

    Published Online: Jul. 30, 2019

    The Author Email: Zhenjie Feng (49909413@qq.com)

    DOI:10.3788/LOP56.071503

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