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eo-norm regularized minimum entropy deconvolution for ultrasonic NDT & E

机译:超声NDT和E的eo-norm正则化最小熵反卷积

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摘要

Ultrasonic backscattered echoes can be modeled as a convolution process. A broadband pulse is modulated by a band-limited system, which distort the measured signals. Consequently, deconvolution techniques have been widely used to improve resolution and quality of ultrasonic signals. Without the prior assumption of distortion function, high-order statistics methods are wildly used; one of the optimality criteria is MED (minimum entropy deconvolution). This paper describes an improved approach, which uses the e0-norm regularization algorithm with the minimum entropy based deconvolution, which gives the benefits of faster convergence of algorithms and increase robustness to additive noise and inverse filter length. The e0-notm regularization create a sparsity representation in transform domain, which sparser than time domain can acquire high resolution compared to conventional MED. The kurtosis is used as iterative stop criterion to indicate the minimization of entropy. Moreover, e0-norm regularization can also eliminate the draw back of slow iteration caused by long filter. Simulated results show the efficiency of the algorithms improved in this paper and prove the parameters relationship proposed. Finally the experimental verification is performed on two different specimens with good result obtained. The result show that the methods designed in this paper is more suitable in ultrasonic NDE.
机译:超声反向散射回波可以建模为卷积过程。宽带脉冲由带限系统调制,使测得的信号失真。因此,去卷积技术已被广泛用于改善超声信号的分辨率和质量。在没有事先假设失真函数的情况下,高阶统计方法被广泛使用。最优标准之一是MED(最小熵反卷积)。本文介绍了一种改进的方法,该方法将e0范数正则化算法与基于最小熵的反卷积一起使用,从而带来了算法更快收敛,增加加性噪声和逆滤波器长度鲁棒性的好处。 e0-notm正则化在变换域中创建一个稀疏表示,与传统MED相比,稀疏表示比时域可以获得更高的分辨率。峰度用作迭代停止准则,以指示熵最小化。此外,e0-范数正则化还可以消除长滤波器导致的慢速迭代的缺点。仿真结果证明了本文算法的有效性,并证明了所提出的参数关系。最后,在两个不同的样品上进行了实验验证,并获得了良好的结果。结果表明,本文设计的方法更适合于超声无损检测。

著录项

  • 来源
    《NDT & E international》 |2012年第2012期|p.80-87|共8页
  • 作者单位

    School of Mechatronics Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, China;

    School of Mechatronics Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, China;

    School of Mechatronics Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, China;

    School of Mechatronics Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    ultrasonic NDTE; l_0-norm; MED; sparsity; filter length;

    机译:超声波NDT&E;l_0规范;用;稀疏过滤长度;

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