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MATCHING PURSUIT-BASED ANAPTIVE WAVELET PACKET ATOMIC DECOMPOSITION APPLIED IN ULTRASONIC INSPECTION

机译:基于匹配的自适应小波包原子分解在超声检测中的应用

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摘要

A novel method of time-frequency amalysis, wavelet packet atomic decomposition based on Matching Pursuit (MP) algorithm, is proposed to improve ultrasonic flaw detection in ultrasonic NDT. MP algorithm is used to decompose the nonlinear and non-stationary signal into given atoms in an over-complete wavelet packet dictionary. The wavelet packet dictionary with Daubechies wavelet function is selected, which well match the observed ultrasonic flaw echoes. Selecting adaptively the optimum atoms to reconstruct signal can obtain spares approximations of the original signal with the less complexity and efficiently improve signal corrupted by noise. Computer simulation and experimental results have verified distinct SNR enhancement for ultrasonic echo in flaw detection.
机译:提出了一种基于匹配追踪(MP)算法的时频分析小波包原子分解新方法,以提高超声无损检测中的超声探伤能力。 MP算法用于将非线性和非平稳信号分解为超完备的小波包字典中的给定原子。选择具有Daubechies小波函数的小波包字典,它与观察到的超声缺陷回波非常匹配。自适应地选择最佳原子来重构信号可以以较低的复杂度获得原始信号的备用近似值,并有效地改善被噪声破坏的信号。计算机仿真和实验结果已经证明了超声探伤中超声回波的明显SNR增强。

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