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New matching pursuit-based algorithm for SNR improvement in ultrasonic NDT

机译:新的基于匹配追踪的超声NDT信噪比改善算法

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摘要

In this paper a fast and efficient matching pursuit-based algorithm is proposed for SNR improvement in ultrasonic NDT of highly scattering materials. The proposed algorithm utilizes time-shifted Morlet functions as dictionary element because they are well matched with the ultrasonic pulse echoes obtained from the transducer used in the experiments. The proposed algorithm is fast enough to be used in the signal processing stage of real time inspection systems. Computer simulation has been performed to verify the SNR improvement for diverse ultrasonic waves embodied in high-level synthetic grain noise. This improvement is also experimentally verified using ultrasonic traces acquired from a carbon fibre reinforced plastic material. Numerical results show meaningful SNR improvements for low input SNR ratios (below 0 dB).
机译:本文提出了一种快速有效的基于匹配追踪的算法,以提高高散射材料超声无损检测的信噪比。所提出的算法利用时移的Morlet函数作为字典元素,因为它们与从实验中使用的换能器获得的超声脉冲回波非常匹配。所提出的算法足够快,可以用于实时检查系统的信号处理阶段。已经进行了计算机仿真,以验证高水平合成颗粒噪声中体现的各种超声波的SNR改善。使用从碳纤维增强塑料材料中获得的超声波痕迹也可以通过实验验证这种改进。数值结果表明,对于低输入SNR比率(低于0 dB),SNR会有有意义的改善。

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