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首页> 外文期刊>Russian Journal of Nondestructive Testing >Determination of the Optimal Decomposition Layer of Wavelet De-Noising Based on Signal Band Feature
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Determination of the Optimal Decomposition Layer of Wavelet De-Noising Based on Signal Band Feature

机译:基于信号频带特征的小波去噪的最优分解层的确定

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In this paper, based on the frequency distribution law of discrete wavelet de-noising, the expression of the optimal decomposition layer of wavelet de-noising is deduced. By simulating the signals of four different frequency bands, the optimal decomposition number of single frequency signal de-noising calculated by the expression has the same result as the composite evaluation index method. The acoustic emission signal of concrete cracking is a multi-frequency broadband wave. The signal optimal decomposition layer of the crack initiation phase and crack propagation stage obtained by the composite index identification method both are 5, same to the result of the expression calculated. This paper analyzed the variation law of de-noising composite evaluation index of the main frequency band of complex multi-main frequency wideband wave signal with the increase in the number of layers and proved the rationality of the parameter selection in the expression. Contrasting with the composite evaluation index method, the expression is suitable for the calculation of the simple and complex signal optimal decomposition number. It is easier and more reasonable.
机译:本文基于离散小波去噪的频率分布规律,推导出小波脱光的最佳分解层的表达。通过模拟四种不同频带的信号,通过表达式计算的单频信号去噪的最佳分解数与复合评估指标方法相同的结果。混凝土裂缝的声发射信号是多频宽带波。通过复合指数识别方法获得的裂纹起始相位和裂纹传播阶段的信号最佳分解层都是5,与所表达的结果相同。本文分析了复杂多主频宽带波信号主频带主频带的去噪复合评价指标的变化规律,随着层数的增加,证明了表达式参数选择的合理性。对比与复合评估指标方法的对比,表达式适用于计算简单和复杂的信号最佳分解号。它更容易和更合理。

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